Relevant bibliographies by topics / Hidden layers

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hidden layers'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Hidden layers.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Hidden layers"

1

Zahara, Soffa, Yanuarini Nur Sukmaningtyas, Ronny Makhfuddin Akbar, and Muhammad Zainul Abidin. "Pengaruh Jumlah Hidden Layer dan Neuron pada Model Multilayer Perceptron untuk Prediksi Emas." Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika 8, no. 2 (2025): 269–75. https://doi.org/10.47324/ilkominfo.v8i2.309.

Full text
Abstract:
Abstrak: Pemilihan kombinasi banyaknya hidden layer dan neuron sangat menentukan performansi model deep learning. Terlalu sedikit hidden layer dan neuron yang digunakan dapat menyebabkan rendahnya akurasi, sedangkan jika terlalu banyak maka dapat meningkatkan kompleksitas pemrosesan sehingga sampai saat ini masih belum ada pedoman kombinasi tetap untuk menentukan jumlah hidden layer dan neuron. Penelitian ini bertujuan untuk mengobservasi pengaruh variasi hidden layer dan neuron, dalam kinerja akurasi metode Multilayer Perceptron dengan variasi dari 1 sampai 6 lapis hidden layer. Data yang dig
APA, Harvard, Vancouver, ISO, and other styles
2

PATRICK VINCENT, ASSUNTA MALAR, and HASSILAH SALLEH. "AN INVESTIGATION INTO THE PERFORMANCE OF THE MULTILAYER PERCEPTRON ARCHITECTURE OF DEEP LEARNING IN FORECASTING STOCK PRICES." Universiti Malaysia Terengganu Journal of Undergraduate Research 3, no. 2 (2021): 61–68. http://dx.doi.org/10.46754/umtjur.v3i2.205.

Full text
Abstract:
A wide range of studies have been conducted on deep learning to forecast time series data. However, very few researches have discussed the optimal number of hidden layers and nodes in each hidden layer of the architecture. It is crucial to study the number of hidden layers and nodes in each hidden layer as it controls the performance of the architecture. Apart from that, in the presence of the activation function, diverse computation between the hidden layers and output layer can take place. Therefore, in this study, the multilayer perceptron (MLP) architecture is developed using the Python so
APA, Harvard, Vancouver, ISO, and other styles
3

Bachtiar, Bachtiar, Tarmizi Tarmizi, and Ramzi Adriman. "Analysis of the Best Neural Network Configuration for Predicting Household Customer Kwh Sales in Banda Aceh City." Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro 8, no. 2 (2024): 154. http://dx.doi.org/10.22373/crc.v8i2.22017.

Full text
Abstract:
Energy consumption (kWh) is critical to the operation of electrical systems. Predictive modeling optimizes energy usage, increasing power system efficiency. This study created an artificial neural network (ANN) architecture to estimate energy consumption (kWh) for home users in Banda Aceh. The ANN topology consisted of 5 input layers, 5-25 hidden layers, and one output layer. This study used two scenarios: first, the ANN topology was trained using the logsig activation function, and then the tansig activation function was used for training. Based on training simulations, the ANN architecture w
APA, Harvard, Vancouver, ISO, and other styles
4

Samann, Fars, and Thomas Schanze. "Multiple parallel hidden layers autoencoder for denoising ECG signal." Current Directions in Biomedical Engineering 8, no. 2 (2022): 161–64. http://dx.doi.org/10.1515/cdbme-2022-1042.

Full text
Abstract:
Abstract Deep learning with multiple hidden layers denoising autoencoders (MHL-DAE) is commonly used to denoise images and signals through dimension reduction. Here, we explore the potential of multiple parallel hidden layers denoising autoencoder (MPHL-DAE) to denoise complex bio-signals, like electrocardiogram (ECG). A merge layer, e.g., average layer is considered as the output of the proposed model by combining the outputs of the parallel hidden layers. The parallel hidden layers in the coding layer with activation function of different scale a, e.g., are considered to capture distinct fea
APA, Harvard, Vancouver, ISO, and other styles
5

Xiao, Dong, Beijing Li, and Yachun Mao. "A Multiple Hidden Layers Extreme Learning Machine Method and Its Application." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4670187.

Full text
Abstract:
Extreme learning machine (ELM) is a rapid learning algorithm of the single-hidden-layer feedforward neural network, which randomly initializes the weights between the input layer and the hidden layer and the bias of hidden layer neurons and finally uses the least-squares method to calculate the weights between the hidden layer and the output layer. This paper proposes a multiple hidden layers ELM (MELM for short) which inherits the characteristics of parameters of the first hidden layer. The parameters of the remaining hidden layers are obtained by introducing a method (make the actual output
APA, Harvard, Vancouver, ISO, and other styles
6

Ross, Matt, Nareg Berberian, Albino Nikolla, and Sylvain Chartier. "Dynamic multilayer growth: Parallel vs. sequential approaches." PLOS ONE 19, no. 5 (2024): e0301513. http://dx.doi.org/10.1371/journal.pone.0301513.

Full text
Abstract:
The decision of when to add a new hidden unit or layer is a fundamental challenge for constructive algorithms. It becomes even more complex in the context of multiple hidden layers. Growing both network width and depth offers a robust framework for leveraging the ability to capture more information from the data and model more complex representations. In the context of multiple hidden layers, should growing units occur sequentially with hidden units only being grown in one layer at a time or in parallel with hidden units growing across multiple layers simultaneously? The effects of growing seq
APA, Harvard, Vancouver, ISO, and other styles
7

Mustafidah, Hindayati, and Suwarsito Suwarsito. "Performance of Levenberg-Marquardt Algorithm in Backpropagation Network Based on the Number of Neurons in Hidden Layers and Learning Rate." JUITA: Jurnal Informatika 8, no. 1 (2020): 29. http://dx.doi.org/10.30595/juita.v8i1.7150.

Full text
Abstract:
One of the supervised learning paradigms in artificial neural networks (ANN) that are in great developed is the backpropagation model. Backpropagation is a perceptron learning algorithm with many layers to change weights connected to neurons in hidden layers. The performance of the algorithm is influenced by several network parameters including the number of neurons in the input layer, the maximum epoch used, learning rate (lr) value, the hidden layer configuration, and the resulting error (MSE). Some of the tests conducted in previous studies obtained information that the Levenberg-Marquardt
APA, Harvard, Vancouver, ISO, and other styles
8

Peleshchak, Ivan, and Diana Koshtura. "Evaluation of Classification Accuracy Using Feedforward Neural Network for Dynamic Objects." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 15 (July 15, 2024): 260–72. http://dx.doi.org/10.23939/sisn2024.15.260.

Full text
Abstract:
This paper investigates the impact of the number of hidden layers, the number of neurons in these layers, and the types of activation functions on the accuracy of classifying projectiles of six types (A – (artillery); A/M – (artillery/missile); A/R – (armor-piercing); A/RC – (armor-piercing- incendiary); M – (missile); R – (armor-piercing shells)) using a multi-layer neural network, evaluated by a confusion matrix. Specifically, confusion matrices were constructed to assess the accuracy of classifying projectiles of six types (A – (artillery); A/M – (artillery/missile); A/R – (armor-piercing),
APA, Harvard, Vancouver, ISO, and other styles
9

Alhassan, Seiba, Gaddafi Abdul-Salaam, Michael Asante, Yaw Missah, and Ernest Ganaa. "Analyzing Autoencoder-Based Intrusion Detection System Performance." Journal of Information Security and Cybercrimes Research 6, no. 2 (2023): 105–15. http://dx.doi.org/10.26735/ylxb6430.

Full text
Abstract:
The rise in cyberattacks targeting critical network infrastructure has spurred an increased emphasis on the development of robust cybersecurity measures. In this context, there is a growing exploration of effective Intrusion Detection Systems (IDS) that leverage Machine Learning (ML) and Deep Learning (DL), with a particular emphasis on autoencoders. Recognizing the pressing need to mitigate cyber threats, our study underscores the crucial importance of advancing these methodologies. Our study aims to identify the optimal architecture for an Intrusion Detection System (IDS) based on autoencode
APA, Harvard, Vancouver, ISO, and other styles
10

Alghamdi, Mostafa, Tami Alwajeeh, Fahad Aljabeer, Setiawan Assegaff, and Rahmat Budiarto. "Experimenting Hand-Gesture Image Recognition using Simple Deep Neural Network." International Journal of Engineering & Technology 7, no. 3.32 (2018): 103. http://dx.doi.org/10.14419/ijet.v7i3.32.18403.

Full text
Abstract:
Traditionally human interacts with a computer by using keyboard and mouse. Considering person with handicapped from the wrist to the fingertip or amputated wrists or fingertips need alternative way; using voice or hand gesture. This work focuses on the use of hand-gesture image recognition. There are two main issues should be considered; less interactivity in static hand gesture recognition, and less accuracy in dynamic hand gesture recognition. This paper attempts to improve the accuracy of hand-gesture image recognition by experimenting simple deep learning neural network (DLNN). As this wor
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Hidden layers"

1

Pandozzi, Fabiano. "Spectroscopic analysis of fractal scattering and hidden layers in complex scattering samples." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106384.

Full text
Abstract:
Near-infrared optical spectroscopic measurement of samples is an important analytical tool for the determination of properties such as particle size, chromophore composition, and concentration. This information is invaluable for sample assessment in pharmaceutical, agricultural, and environmental areas. However, samples often exhibit significant light scattering, which complicates measurements. This thesis investigates chemometric approaches including power law and component analysis methods to extract useful sample information from data, while simplified instrumentation is developed to facili
APA, Harvard, Vancouver, ISO, and other styles
2

Reichenbächer, Helmut. "Reading hidden layers, a genetic analysis of the drafts of Margaret Atwood's novels The edible woman and Bodily harm." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0008/NQ41492.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

SANTOS, GEAN R. dos. "Algoritmo de colônia de formigas e redes neurais artificiais aplicados na monitoração e detecção de falhas em centrais nucleares." reponame:Repositório Institucional do IPEN, 2016. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26798.

Full text
Abstract:
Submitted by Claudinei Pracidelli (cpracide@ipen.br) on 2016-11-11T09:45:23Z No. of bitstreams: 0<br>Made available in DSpace on 2016-11-11T09:45:23Z (GMT). No. of bitstreams: 0<br>Um desafio recorrente em processos produtivos é o desenvolvimento de sistemas de monitoração e diagnóstico. Esses sistemas ajudam na detecção de mudanças inesperadas e interrupções, prevenindo perdas e mitigando riscos. Redes Neurais Artificiais (RNA) têm sido largamente utilizadas na criação de sistemas de monitoração. Normalmente as RNA utilizadas para resolver este tipo de problema são criadas levando-se em cont
APA, Harvard, Vancouver, ISO, and other styles
4

Зимовець, Т. С. "Інтелектуальна інформаційна технологія комп'ютерного діагностування патології волосся". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/78595.

Full text
Abstract:
Проведено синтез системи підтримки прийняття рішень, яка здатна навчатися з використанням нейромережевої технології. Для чого використовувалася нейронна мережа зворотнього поширення. У роботі проведена оптимізація параметрів стандартного алгоритму навчання нейронної мережі такого типу, що дозволило підвищити точність сформованого нейронно мережевого класифікатора. Програмна реалізація виконувалася з використанням пакета розширення NNToolBox середовища MATLAB 6.5.
APA, Harvard, Vancouver, ISO, and other styles
5

Pratt, Kenrick A. "Evaluation of hidden layer architecture in neural networks for mRNA backtranslation." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2003. http://digitalcommons.auctr.edu/dissertations/2786.

Full text
Abstract:
Many biological experiments require a protein sequence to be translated to the nucleic acid sequence that codes for it or require an investigator to possess a means to “backtranslate” a protein to its amino acid sequence. However, the degenerate nature of the genetic code greatly frustrates this process through ambiguities in the wobble bases. One possible solution to this dilemma is to predict codon usage frequencies for a target organism through use of an Artificial Neural Network. Consequently, a Neural Network was trained on amino and nucleic acid sequences to determine the network’s capac
APA, Harvard, Vancouver, ISO, and other styles
6

Sefastsson, Ulf, and Per Sefastsson. "Inflation Forecasting in Sweden using Single Hidden Layer Feedforward Artificial Neural Networks." Thesis, Stockholms universitet, Nationalekonomiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141675.

Full text
Abstract:
Inflation affects many economic processes, and it is therefor crucial for economic agents to have reliable forecasts of it. In this thesis, single hidden layer feedforward artificial neural networks were used to predict the year-on-year consumer price index inflation rate in Sweden for the period 2013-01-01 – 2016-06-30. Separate networks were estimated for each prediction horizon, ranging from 1 to 24 months. The root mean square errors were computed for each horizon, which were then compared with the predictions issued by the Riksbank and two linear models (Autoregressive Moving Average and
APA, Harvard, Vancouver, ISO, and other styles
7

Arriola, Yosu. "Integration of multi-layer perception and hidden Markov models for automatic speech recognition." Thesis, Staffordshire University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292239.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Houck, Christopher A. "Hide and Seek: An Architecture of Layers." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/51791.

Full text
Abstract:
This project is an elementary school located in a suburban area outside of Williamsburg, Virginia. The building is sited on an eight acre plot of wooded land and is designed for 100 students. A playground is designed as a counterpart to the school. A design approach which resembles the layering of space is developed through the drawings. The experience of these spaces establishes a dialogue between building and student likened to a game of hide and seek.<br>Master of Architecture
APA, Harvard, Vancouver, ISO, and other styles
9

Fischer, Manfred M., and Sucharita Gopal. "Learning in Single Hidden Layer Feedforward Network Models: Backpropagation in a Real World Application." WU Vienna University of Economics and Business, 1994. http://epub.wu.ac.at/4192/1/WSG_DP_3994.pdf.

Full text
Abstract:
Leaming in neural networks has attracted considerable interest in recent years. Our focus is on learning in single hidden layer feedforward networks which is posed as a search in the network parameter space for a network that minimizes an additive error function of statistically independent examples. In this contribution, we review first the class of single hidden layer feedforward networks and characterize the learning process in such networks from a statistical point of view. Then we describe the backpropagation procedure, the leading case of gradient descent learning algorithms for th
APA, Harvard, Vancouver, ISO, and other styles
10

Rech, Gianluigi. "Modelling and forecasting economic time series with single hidden-layer feedforward autoregressive artificial neural networks." Doctoral thesis, Handelshögskolan i Stockholm, Ekonomisk Statistik (ES), 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-591.

Full text
Abstract:
This dissertation consists of 3 essays In the first essay, A Simple Variable Selection Technique for Nonlinear Models, written in cooperation with Timo Teräsvirta and Rolf Tschernig, I propose a variable selection method based on a polynomial expansion of the unknown regression function and an appropriate model selection criterion. The hypothesis of linearity is tested by a Lagrange multiplier test based on this polynomial expansion. If rejected, a kth order general polynomial is used as a base for estimating all submodels by ordinary least squares. The combination of regressors leading to the
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Hidden layers"

1

Morioka, Masahiro. Confessions of a frigid man: A philosopher's journey into the Hidden Layers of Men's sexuality. Tokyo Philosophy Project, 2017.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

V, Morris Kevin, ed. RNA and the regulation of gene expression: A hidden layer of complexity. Caister Academic, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Resuma, Junna, Kimberly Lorenz-Copeland, and Emily Calvanese. Hidden Layers of Love. Lulu Press, Inc., 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Shojosh, J. L. Hidden Layers: A Short Story. Independently Published, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

The Hidden Power Of Adjustment Layers In Adobe Photoshop. Pearson Education (US), 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Wheatley, Catherine. Caché (Hidden). 2nd ed. Bloomsbury Publishing Plc, 2020. https://doi.org/10.5040/9781838719579.

Full text
Abstract:
Ever since its world premiere at the Cannes film festival in May 2005, audiences have been talking about Michael Haneke’s Caché. The film’s enigmatic and multi-layered narrative leaves its viewers with many more questions than answers. The plot revolves around the mystery of who is sending a series of sinister videos and drawings to Georges Laurent (Daniel Auteuil), the presenter of a literary talkshow. As Georges becomes increasingly secretive, much to the distress of his wife Anne (Juliette Binoche), a culprit fails to surface. And even at the film’s end, audiences are left struggling to mak
APA, Harvard, Vancouver, ISO, and other styles
7

Valentine, Scott. Hidden Power of Adobe Photoshop: Mastering Blend Modes and Adjustment Layers for Photography. Pearson Education, Limited, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Valentine, Scott. Hidden Power of Adobe Photoshop: Mastering Blend Modes and Adjustment Layers for Photography. Pearson Education, Limited, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bake happy: 100 playful desserts with rainbow layers, hidden fillings, billowy frostings, and more. 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Williams, Penny. The Hidden Layers of ADHD: The Underlying Complexities of ADHD, and Their Powerful Effect on Your Parenting Success. Grace-Everett Press, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Hidden layers"

1

Buckner, Aimee. "Beneath the Story: Discovering Hidden Layers." In Notebook Connections. Routledge, 2023. http://dx.doi.org/10.4324/9781032681887-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Basu, Sarbani. "Uncovering the Hidden Layers of the Sun." In Astrophysics and Space Science Proceedings. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55336-4_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kůrková, Věra, and Marcello Sanguineti. "Can Two Hidden Layers Make a Difference?" In Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37213-1_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Thomas, Alan J., Miltos Petridis, Simon D. Walters, Saeed Malekshahi Gheytassi, and Robert E. Morgan. "Two Hidden Layers are Usually Better than One." In Engineering Applications of Neural Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65172-9_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hammami, Eya, Mohand Boughanem, Rim Faiz, and Taoufiq Dkaki. "Intermediate Hidden Layers for Legal Case Retrieval Representation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68312-1_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kameko, Hirotaka, Jun Suzuki, Naoki Mizukami, and Yoshimasa Tsuruoka. "Deep Reinforcement Learning with Hidden Layers on Future States." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75931-9_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hammami, Eya, and Rim Faiz. "European Union’s Legislative Proposals Clustering Based on Multiple Hidden Layers Representation." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63543-4_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Go, Jinwook, and Chulhee Lee. "Analytical Decision Boundary Feature Extraction for Neural Networks with Multiple Hidden Layers." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45179-2_71.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Raut, Purva, and Apurva Dani. "Correlation Between Number of Hidden Layers and Accuracy of Artificial Neural Network." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3242-9_49.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Denker, A., C. Laurenze-Landsberg, K. Kleinert, and B. Schröder-Smeibidl. "Paintings Reveal Their Secrets: Neutron Autoradiography Allows the Visualization of Hidden Layers." In Neutron Methods for Archaeology and Cultural Heritage. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33163-8_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Hidden layers"

1

Qin, Yunyang, Yujia Zhu, Linkang Zhang, Baiyang Li, Yong Ding, and Qingyun Liu. "LayyerX: Unveiling the Hidden Layers of DoH Server via Differential Fingerprinting." In 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2024. https://doi.org/10.1109/trustcom63139.2024.00069.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

R, Vijay Kiran, Ashwini Kodipalli, and Trupthi Rao. "Dimensional Hidden Layers and their Impact on Neural Network Performance." In 2024 4th Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10837835.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Prasetyo, Simeon Yuda, Ika Dyah Agustia Rachmawati, and Ajeng Wulandari. "Breast Cancer Detection with Multi Layer Perceptron: Unveiling Neuron Unit Dynamics in Dual Hidden Layers." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748077.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Stirbu, Vlad, Arianne Meijer-van de Griend, and Jake Muff. "Exposing the Hidden Layers and Interplay in the Quantum Software Stack." In 2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C). IEEE, 2024. http://dx.doi.org/10.1109/icsa-c63560.2024.00010.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Horne, Leo, Matthias Matti, Pouya Pourjafar, and Zuowen Wang. "GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis." In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.aacl-srw.19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhu, Xianli, and Liangsheng Li. "Computational imaging of moving hidden objects through random scattering layers by speckle cross-correlation method." In Seventh Global Intelligent Industry Conference (GIIC 2024), edited by Xingjun Wang. SPIE, 2024. http://dx.doi.org/10.1117/12.3032244.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gicić, Adaleta, and Dženana Ɖonko. "Leveraging Time Sequence Deep Learning Models: Impact of Hidden Layers on AI Model Performance in Credit Scoring." In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). IEEE, 2024. https://doi.org/10.1109/fmlds63805.2024.00068.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dewi, Adhe Lingga, Dimas Elang Setyoko, Canggih Gelar Setyo Adhi, and Nur Sitha Afrilia. "Comparison of Training Function, Adaption Learning Function, and Transfer Function of Hidden Layers in Artificial Neural Network in Weather Prediction." In 2024 International Conference on Information Management and Technology (ICIMTech). IEEE, 2024. https://doi.org/10.1109/icimtech63123.2024.10780803.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Blue, Jeffrey L., and Lawrence O. Hall. "Collapsing multiple hidden layers in feedforward neural networks to a single hidden layer." In Aerospace/Defense Sensing and Controls, edited by Steven K. Rogers and Dennis W. Ruck. SPIE, 1996. http://dx.doi.org/10.1117/12.235964.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cohen, Gad, and Daphna Weinshall. "Hidden Layers in Perceptual Learning." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.568.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Hidden layers"

1

Tayeb, Shahab. Taming the Data in the Internet of Vehicles. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2014.

Full text
Abstract:
As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and f
APA, Harvard, Vancouver, ISO, and other styles
2

León, Carlos. Digital Operational Resilience Act (DORA). FNA, 2023. http://dx.doi.org/10.69701/deff9232.

Full text
Abstract:
One of the key lessons of the 2007-2008 global financial crisis is the importance of financial market infrastructures (FMIs) as a pillar of financial stability. Before, the role of financial market infrastructures, namely the provision of trading, clearing, settling, recording, and compressing services for transactions between financial institutions (FIs) was often taken for granted. This was reflected in FMIs having often been referred to as the financial system’s plumbing, including by the Federal Reserve’s 14th chairman (Bernanke, 2011)—a clear reference to the critical yet concealed import
APA, Harvard, Vancouver, ISO, and other styles
3

Gonzalez Pibernat, Gabriel, and Miguel Mascaró Portells. Dynamic structure of single-layer neural networks. Fundación Avanza, 2023. http://dx.doi.org/10.60096/fundacionavanza/2392022.

Full text
Abstract:
This article examines the practical applications of single hidden layer neural networks in machine learning and artificial intelligence. They have been used in diverse fields, such as finance, medicine, and autonomous vehicles, due to their simplicit
APA, Harvard, Vancouver, ISO, and other styles
4

Baluga, Shumeet, and Dean Pomerleau. Using the Representation in a Neural Network's Hidden Layer for Task-Specific Focus of Attention. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada296386.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Muhlestein, Michael. Willis coupling in one-dimensional layered bulk media. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45862.

Full text
Abstract:
Willis coupling, which couples the constitutive equations of an acoustical material, has been applied to acoustic metasurfaces with promising results. However, less is understood about Willis coupling in bulk media. In this paper a multiple-scales homogenization method is used to analyze the source and interpretation of Willis coupling in one-dimensional bulk media without any hidden degrees of freedom, or one-dimensional layered media. As expected from previous work, Willis coupling is shown to arise from geometric asymmetries, but is further shown to depend greatly on the measurement positio
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Hidden layers' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography