Journal articles on the topic 'Feed forward layer'
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Safi, Youssef, and Abdelaziz Bouroumi. "Evolutionary single hidden-layer feed forward networks." International Journal of Innovative Computing and Applications 6, no. 2 (2014): 73. http://dx.doi.org/10.1504/ijica.2014.066497.
Full textHasbi, Yasin, Warsito Budi, and Santoso Rukun. "Feed Forward Neural Network Modeling for Rainfall Prediction." E3S Web of Conferences 73 (2018): 05017. http://dx.doi.org/10.1051/e3sconf/20187305017.
Full textSvozil, Daniel, Vladimír Kvasnicka, and Jir̂í Pospichal. "Introduction to multi-layer feed-forward neural networks." Chemometrics and Intelligent Laboratory Systems 39, no. 1 (1997): 43–62. http://dx.doi.org/10.1016/s0169-7439(97)00061-0.
Full textBehunkou, U. I. "Loan classification using a feed-forward neural network." Informatics 21, no. 1 (2024): 83–104. http://dx.doi.org/10.37661/1816-0301-2024-21-1-83-104.
Full textHayat, Safdar. "Phone numbers classificationwith feed-forward neural networks." Foundation University Journal of Engineering and Applied Sciences <br><i style="color:yellow;">(HEC Recognized Y Category , ISSN 2706-7351)</i> 1, no. 2 (2021): 1–5. http://dx.doi.org/10.33897/fujeas.v1i2.340.
Full textKarakida, Ryo, Yasuhiko Igarashi, Kenji Nagata, and Masato Okada. "Inter-Layer Correlation in a Feed-Forward Network with Intra-Layer Common Noise." Journal of the Physical Society of Japan 82, no. 6 (2013): 064007. http://dx.doi.org/10.7566/jpsj.82.064007.
Full textIndurkhya, Nitin, and Sholom M. Weiss. "Heuristic configuration of single hidden-layer feed-forward neural networks." Applied Intelligence 2, no. 4 (1992): 325–31. http://dx.doi.org/10.1007/bf00058649.
Full textPham, Minh Tuan, Syouhei Nishihama, and Kazuharu Yoshizuka. "Removal of Chromium from Water Environment by Forward Osmosis System." MATEC Web of Conferences 333 (2021): 04007. http://dx.doi.org/10.1051/matecconf/202133304007.
Full textPham, Minh Tuan, Syouhei Nishihama, and Kazuharu Yoshizuka. "Removal of Chromium from Water Environment by Forward Osmosis System." MATEC Web of Conferences 333 (2021): 04007. http://dx.doi.org/10.1051/matecconf/202133304007.
Full textMahmood, M. F., and Z. Ahmad. "Application of Multi-Layer Feed Forward Neural Network (MLFNN) for the." Nucleus 54, no. 1 (2017): 10–15. https://doi.org/10.71330/thenucleus.2017.92.
Full textTian, Miao, Tao Ma, Kunli Goh, Zhiqiang Pei, Jeng Yi Chong, and Yi-Ning Wang. "Forward Osmosis Membranes: The Significant Roles of Selective Layer." Membranes 12, no. 10 (2022): 955. http://dx.doi.org/10.3390/membranes12100955.
Full textPriramadhi, Rizki Ardianto, and Denny Darlis. "Prototyping Feed-Forward Artificial Neural Network on Spartan 3S1000 FPGA for Blood Type Classification." IJAIT (International Journal of Applied Information Technology) 5, no. 01 (2022): 34. http://dx.doi.org/10.25124/ijait.v5i01.3220.
Full textJabar, Asia L., and Tarik A. Rashid. "A Modified Particle Swarm Optimization with Neural Network via Euclidean Distance." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 6, no. 1 (2018): 4. http://dx.doi.org/10.3991/ijes.v6i1.8080.
Full textRani, Dr K. SheelaSobana, and Dr S. Anila. "Comparison of feed forward, Cascade forward and Layer Recurrent Algorithm model for breast cancer prediction." IOP Conference Series: Materials Science and Engineering 705 (December 2, 2019): 012055. http://dx.doi.org/10.1088/1757-899x/705/1/012055.
Full textBatubara, Qunazatul Shima, and Tomi Erfando. "The Successful Prediction Of Waterflooding Using A Feed Forward Algorithm." Aceh International Journal of Science and Technology 12, no. 2 (2023): 188–96. http://dx.doi.org/10.13170/aijst.12.2.30813.
Full textLi, Zongyan, and Matt Best. "Structure optimisation of input layer for feed-forward NARX neural network." International Journal of Modelling, Identification and Control 25, no. 3 (2016): 217. http://dx.doi.org/10.1504/ijmic.2016.075814.
Full textAsadi, Roya, Sameem Abdul Kareem, Mitra Asadi, and Shokoofeh Asadi. "A Single-Layer Semi-Supervised Feed Forward Neural Network Clustering Method." Malaysian Journal of Computer Science 28, no. 3 (2015): 189–212. http://dx.doi.org/10.22452/mjcs.vol28no3.2.
Full textMoraru, Luminita, Simona Moldovanu, and Andreea-Monica (Lăzărescu) Dincă. "Feed-Forward Back Propagation Network for the prediction of diabetic retinopathy disorder." Annals of the ”Dunarea de Jos” University of Galati Fascicle II Mathematics Physics Theoretical Mechanics 44, no. 1 (2021): 67–74. http://dx.doi.org/10.35219/ann-ugal-math-phys-mec.2021.1.10.
Full textChang, Z. H., Y. H. Teow, S. P. Yeap, and J. Y. Sum. "Membrane Fouling – The Enemy of Forward Osmosis." Journal of Applied Membrane Science & Technology 25, no. 2 (2021): 73–88. http://dx.doi.org/10.11113/amst.v25n2.220.
Full textEt. al., Jackie D. Urrutia. "An Analytical Study On Forecasting Exchange Rate In The Philippines Using Multi-Layer Feed Forward Neural Network." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 5357–77. http://dx.doi.org/10.17762/turcomat.v12i3.2182.
Full textLiqaa, Saadi Mezher. "Design and implementation hamming neural network with VHDL." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (2022): 1469–79. https://doi.org/10.11591/ijeecs.v19.i3.pp1469-1479.
Full textDietz Saldanha, Emmanuelle-Anna, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, and Luis Palacios Medinacelli. "A Core Method for the Weak Completion Semantics with Skeptical Abduction." Journal of Artificial Intelligence Research 63 (September 28, 2018): 51–86. http://dx.doi.org/10.1613/jair.1.11236.
Full textWen, Zhiqing, Pochi Yeh, and Xiangyang Yang. "Optoelectronic three-layer feed-forward perceptron with enhanced local-input-fault-tolerances." Optics Communications 135, no. 4-6 (1997): 203–6. http://dx.doi.org/10.1016/s0030-4018(96)00659-1.
Full textPaluzo-Hidalgo, Eduardo, Rocio Gonzalez-Diaz, and Miguel A. Gutiérrez-Naranjo. "Two-hidden-layer feed-forward networks are universal approximators: A constructive approach." Neural Networks 131 (November 2020): 29–36. http://dx.doi.org/10.1016/j.neunet.2020.07.021.
Full textLiu, Cheng-Yi, Chein Chen, Ching-Ter Chang, and Lun-Min Shih. "Single-hidden-layer feed-forward quantum neural network based on Grover learning." Neural Networks 45 (September 2013): 144–50. http://dx.doi.org/10.1016/j.neunet.2013.02.012.
Full textLuo, X., A. D. Patton, and C. Singh. "Real power transfer capability calculations using multi-layer feed-forward neural networks." IEEE Transactions on Power Systems 15, no. 2 (2000): 903–8. http://dx.doi.org/10.1109/59.867192.
Full textLiqaa, Saadi Mezher. "Hamming neural network application with FPGA device." International Journal of Reconfigurable and Embedded Systems 10, no. 1 (2021): 37–46. https://doi.org/10.11591/ijres.v10.i1.pp37-46.
Full textSingh, Ramvir, and Manju Dabas. "Neural Network-Based Prediction of Effective Heat Storage Coefficient of Building Materials." Defect and Diffusion Forum 354 (June 2014): 73–78. http://dx.doi.org/10.4028/www.scientific.net/ddf.354.73.
Full textQiao, Z. X., Y. Zhou, and Z. Wu. "Turbulent boundary layer under the control of different schemes." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2202 (2017): 20170038. http://dx.doi.org/10.1098/rspa.2017.0038.
Full textDuguid, Ian, Tiago Branco, Paul Chadderton, Charlotte Arlt, Kate Powell, and Michael Häusser. "Control of cerebellar granule cell output by sensory-evoked Golgi cell inhibition." Proceedings of the National Academy of Sciences 112, no. 42 (2015): 13099–104. http://dx.doi.org/10.1073/pnas.1510249112.
Full textWigati, Ekky Rosita Singgih, Budi Warsito, and Rita Rahmawati. "PEMODELAN JARINGAN SYARAF TIRUAN DENGAN CASCADE FORWARD BACKPROPAGATION PADA KURS RUPIAH TERHADAP DOLAR AMERIKA SERIKAT." Jurnal Gaussian 7, no. 1 (2018): 64–72. http://dx.doi.org/10.14710/j.gauss.v7i1.26636.
Full textBrajen, Kumar Deka, and Das Pranab. "Isolated Keyword Spotting in Multilingual Environment using ANN and MFCC." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 5–8. https://doi.org/10.35940/ijeat.C6135.049420.
Full textSingh, Priyanka, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, and Lakhan Dev Sharma. "Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection." International Journal of Intelligent Systems 2023 (February 20, 2023): 1–20. http://dx.doi.org/10.1155/2023/9544481.
Full textKoyuncu, Hakan. "Determination of positioning accuracies by using fingerprint localisation and artificial neural networks." Thermal Science 23, Suppl. 1 (2019): 99–111. http://dx.doi.org/10.2298/tsci180912334k.
Full textS., Murugan *1. "PERFORMANCE AND COMPARATIVE ANALYSIS OF INDIAN STOCK MARKET DATA USING MULTI LAYER FEED FORWARD NEURAL NETWORK AND FUZZY TIME SERIES MULTI LAYER FEED FORWARD NEURAL NETWORK MODEL WITH TRACKING SIGNAL APPROACH." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 3 (2019): 61–69. https://doi.org/10.5281/zenodo.2595802.
Full textQin, Jian-Jun, Maung Htun Oo, Guihe Tao, et al. "Optimization of Operating Conditions in Forward Osmosis for Osmotic Membrane Bioreactor." Open Chemical Engineering Journal 3, no. 1 (2009): 27–32. http://dx.doi.org/10.2174/1874123100903010027.
Full textKim, Minseong, and Hyun-Chul Choi. "Total Style Transfer with a Single Feed-Forward Network." Sensors 22, no. 12 (2022): 4612. http://dx.doi.org/10.3390/s22124612.
Full textAMRAN, SITI NOR ZULAIKA, and NORIZAN MOHAMED. "FORECASTING ELECTRICITY SUPPLIED IN TURKEY USING HOLT-WINTERS’ MULTIPLICATIVE METHOD AND ARTIFICIAL NEURAL NETWORK (ANN) MODELS." Universiti Malaysia Terengganu Journal of Undergraduate Research 3, no. 3 (2021): 131–42. http://dx.doi.org/10.46754/umtjur.v3i3.225.
Full textKavitha, B., and D. Sarala Thambavani. "Kinetics, equilibrium isotherm and neural network modeling studies for the sorption of hexavalent chromium from aqueous solution by quartz/feldspar/wollastonite." RSC Advances 6, no. 7 (2016): 5837–47. http://dx.doi.org/10.1039/c5ra22851d.
Full textArslan, Ozkan, and Erkan Zeki Engin. "Noise Robust Voice Activity Detection Based on Multi-Layer Feed-Forward Neural Network." Electrica 19, no. 2 (2019): 91–100. http://dx.doi.org/10.26650/electrica.2019.18042.
Full textGonzalez, Larry P., and Carlos M. Arnaldo. "Classification of drug-induced behaviors using a multi-layer feed-forward neural network." Computer Methods and Programs in Biomedicine 40, no. 3 (1993): 167–73. http://dx.doi.org/10.1016/0169-2607(93)90054-o.
Full text., V. Parthasarathy. "A SIMPLIFIED DESIGN OF MULTIPLIER FOR MULTI LAYER FEED FORWARD HARDWARE NEURAL NETWORKS." International Journal of Research in Engineering and Technology 03, no. 24 (2014): 43–47. http://dx.doi.org/10.15623/ijret.2014.0324009.
Full textSIMODA, Fuyuki, Satoshi TAKAMOTO, Toru EGUCHI, and Fuminori OBA. "Bi-criteria Job Shop Scheduling Using a Multi-layer Feed-forward Neural Network." Proceedings of Conference of Chugoku-Shikoku Branch 2002.40 (2002): 477–78. http://dx.doi.org/10.1299/jsmecs.2002.40.477.
Full textTaweewat, Pat, and Chai Wutiwiwatchai. "Musical pitch estimation using a supervised single hidden layer feed-forward neural network." Expert Systems with Applications 40, no. 2 (2013): 575–89. http://dx.doi.org/10.1016/j.eswa.2012.07.063.
Full textBISRY, AHMAD, CECEP MUHAMAD SIDIK RAMDANI, and SITI YULIYANTI. "Pengujian Parameter Algoritma Genetika dan Feed-Forward Neural Networks pada Permainan Ular Klasik." MIND Journal 9, no. 2 (2024): 135–52. https://doi.org/10.26760/mindjournal.v9i2.135-152.
Full textAbdullah, Saleem, Alaa O. Almagrabi, and Nawab Ali. "A New Method for Commercial-Scale Water Purification Selection Using Linguistic Neural Networks." Mathematics 11, no. 13 (2023): 2972. http://dx.doi.org/10.3390/math11132972.
Full textSrisaeng, Panarat, Glenn S. Baxter, and Graham Wild. "FORECASTING DEMAND FOR LOW COST CARRIERS IN AUSTRALIA USING AN ARTIFICIAL NEURAL NETWORK APPROACH." Aviation 19, no. 2 (2015): 90–103. http://dx.doi.org/10.3846/16487788.2015.1054157.
Full textMedini, Chaitanya, Bipin Nair, Egidio D'Angelo, Giovanni Naldi, and Shyam Diwakar. "Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles." Computational Intelligence and Neuroscience 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/359529.
Full textLyakhomsky, Alexander, and Andrei Shadrin. "POWER CONSUMPTION FORECASTING BASED ON FULLY CONNECTED FEED-FORWARD NEURAL NETWORKS." Electrical and data processing facilities and systems 18, no. 1 (2022): 107–13. http://dx.doi.org/10.17122/1999-5458-2022-18-1-107-113.
Full textSwadlow, Harvey A. "Thalamocortical control of feed–forward inhibition in awake somatosensory ‘barrel’ cortex." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 357, no. 1428 (2002): 1717–27. http://dx.doi.org/10.1098/rstb.2002.1156.
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