Academic literature on the topic 'Resilient backpropagation'
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Journal articles on the topic "Resilient backpropagation"
Onggrono, Kelvin, Tulus Tulus, and Erna Budhiarti Nababan. "ANALISIS PENGGUNAAN PARALLEL PROCESSING MULTITHREADING PADA RESILIENT BACKPROPAGATION." InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) 2, no. 1 (2017): 33–40. http://dx.doi.org/10.30743/infotekjar.v2i1.146.
Full textWidyaningrum, Bajeng Nurul, and Lingga Kurnia Ramadhani. "Penerapan Metode Resilient Backpropagation (RPROP) Untuk Prediksi Aktivitas Gempa Bumi Berdasarkan Skala Magnitudo." JURNAL FASILKOM 14, no. 2 (2024): 325–31. https://doi.org/10.37859/jf.v14i2.7296.
Full textSERPEN, GURSEL, and JOEL CORRA. "TRAINING SIMULTANEOUS RECURRENT NEURAL NETWORK WITH RESILIENT PROPAGATION FOR STATIC OPTIMIZATION." International Journal of Neural Systems 12, no. 03n04 (2002): 203–18. http://dx.doi.org/10.1142/s0129065702001199.
Full textOkprana, Harly, Muhammad Ridwan Lubis, and Jaya Tata Hadinata. "Prediksi Kelulusan TOEFL Menggunakan Metode Resilient Backpropagation." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 6, no. 2 (2020): 275. http://dx.doi.org/10.26418/jp.v6i2.41224.
Full textAbdurrakhman, Arief, Lilik Sutiarso, Makhmudun Ainuri, Mirwan Ushada, and Md Parvez Islam. "Prediction of Biogas Production from Agriculture Waste Biomass Based on Backpropagation Neural Network." BIO Web of Conferences 165 (2025): 06001. https://doi.org/10.1051/bioconf/202516506001.
Full textRozario, Victor Stany Rozario, and Partha Sutradhar. "In-Depth Case Study on Artificial Neural Network Weights Optimization Using Meta-Heuristic and Heuristic Algorithmic Approach." AIUB Journal of Science and Engineering (AJSE) 21, no. 2 (2022): 98–109. http://dx.doi.org/10.53799/ajse.v21i2.379.
Full textChristofer, Ariel, Chandrasurya Kusuma, Vincent Pribadi, and Widodo Budiharto. "The Notation Scanner Systems Using Resilient Backpropagation Method." Procedia Computer Science 59 (2015): 98–105. http://dx.doi.org/10.1016/j.procs.2015.07.342.
Full textSaputra, Widodo, Tulus, Muhammad Zarlis, Rahmat Widia Sembiring, and Dedy Hartama. "Analysis Resilient Algorithm on Artificial Neural Network Backpropagation." Journal of Physics: Conference Series 930 (December 2017): 012035. http://dx.doi.org/10.1088/1742-6596/930/1/012035.
Full textSaputra, Widodo, Agus Perdana Windarto, and Anjar Wanto. "Analysis of the Resilient Method in Training and Accuracy in the Backpropagation Method." IJICS (International Journal of Informatics and Computer Science) 5, no. 1 (2021): 52. http://dx.doi.org/10.30865/ijics.v5i1.2922.
Full textCahyani, Nita, Rahmat Irsyada, and Rahmawati Mahmuda. "Penerapan Algoritma Neural Network untuk Klasifikasi Diabetes Mellitus: Perbandingan Backpropagation dan Resillient Backpropagation." Digital Transformation Technology 4, no. 2 (2025): 1067–74. https://doi.org/10.47709/digitech.v4i2.5208.
Full textDissertations / Theses on the topic "Resilient backpropagation"
Vicentini, Rafael Estéfano. "Uso de redes neurais artificiais para detecção de pele em imagens digitais." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152329.
Full textFick, Machteld. "Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans." Diss., 2002. http://hdl.handle.net/10500/584.
Full textBook chapters on the topic "Resilient backpropagation"
Wang, Xugang, Hongan Wang, Guozhong Dai, and Zheng Tang. "A Reliable Resilient Backpropagation Method with Gradient Ascent." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_31.
Full textMaarouf, Mustapha, and Blas J. Galván González. "Physical Activity Classification Using Resilient Backpropagation (RPROP) with Multiple Outputs." In Computer Aided Systems Theory - EUROCAST 2013. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53856-8_10.
Full textFernandes, Paula Odete, João Paulo Teixeira, João Ferreira, and Susana Azevedo. "Training Neural Networks by Resilient Backpropagation Algorithm for Tourism Forecasting." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00569-0_6.
Full textSandjak, K., M. Ouanani, and T. Messafer. "Bayesian Regularized Backpropagation Neural Network Model to Estimate Resilient Modulus of Unbound Granular Materials for Pavement Design." In Lecture Notes in Networks and Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21216-1_48.
Full textLenka, Saroj Kumar, and Ambarish G. Mohapatra. "Hybrid Decision Model for Weather Dependent Farm Irrigation Using Resilient Backpropagation Based Neural Network Pattern Classification and Fuzzy Logic." In Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30933-0_30.
Full textKapp Jr., Claudio, Eduardo Fávero Caires, and Alaine Margarete Guimarães. "Discriminating Biomass and Nitrogen Status in Wheat Crop by Spectral Reflectance Using ANN Algorithms." In Innovations and Trends in Environmental and Agricultural Informatics. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5978-8.ch007.
Full textGhosh, Arghyadeep, and Mrinal Das. "Bottlenecked Backpropagation to Train Differentially Private Deep Neural Networks." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240743.
Full textNguyen, Loc. "TUTORIAL ON ARTIFICIAL NEURAL NETWORK." In Futuristic Trends in Artificial Intelligence Volume 3 Book 5. Selfypage Developers Private Limited, 2024. http://dx.doi.org/10.58532/v3bbai5p1ch3.
Full textConference papers on the topic "Resilient backpropagation"
Roslan, Muhammad Ikhsan, Noor Aida Syakira Ahmad Sabri, Nur Athirah Syafiqah Noramli, Nurlaila Ismail, Zakiah Mohd Yusoff, and Mohd Nasir Taib. "Enhancing NARX Neural Network for Agarwood Oil Grading: A Study on Resilient Backpropagation Training Method." In 2024 IEEE 22nd Student Conference on Research and Development (SCOReD). IEEE, 2024. https://doi.org/10.1109/scored64708.2024.10872669.
Full textKaur, Sukhdeep, Ajay Shiv Sharma, Harpreet Kaur, and Karamjit Singh. "Gene selection for tumor classification using resilient backpropagation neural network." In 2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall). IEEE, 2016. http://dx.doi.org/10.1109/icaccaf.2016.7748988.
Full textEtemad, Seyed Ali, and Ali Arya. "3D human action recognition and style transformation using resilient backpropagation neural networks." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5357690.
Full textAnnas, Suwardi, Aswi Aswi, Muhammad Abdy, Bobby Poerwanto, and Riska Yanu Fa’rifah. "Stroke type classification model based on risk factors using resilient backpropagation neural networks." In 4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0181745.
Full textDutta, M., A. Chatterjee, and A. Rakshit. "A Resilient Backpropagation Neural Network based Phase Correction System for Automatic Digital AC Bridges." In 2004 Conference on Precision Electromagnetic Measurements. IEEE, 2004. http://dx.doi.org/10.1109/cpem.2004.305621.
Full textAnnas, S., and R. Arisandi. "Improving the accuracy of rainfall forecasting using multivariate transfer function and resilient backpropagation neural network." In 3RD ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2017 (EGM 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5002378.
Full textMohammed, N. "Application of artificial neural networks (ANN) to evaluate centrifugal pump characteristics." In Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903414-96.
Full textKaur, Gurpreet, and Gurmeet Kaur. "Fuzzy-Neuro Network in a CO-OFDM system: Various Membership Functions Comparison." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.46.
Full textCanbolat, S., M. Cicek, and E. Artun. "Data-Driven Reservoir Performance Forecasting: Leveraging Machine Learning for Complex Reservoirs." In SPE Europe Energy Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225507-ms.
Full textGunel, B. T., E. Artun, S. Gul, B. Kulga, Y. D. Pak, and A. O. Herekeli. "Machine Learning-Based Estimation of Solids Content in Drilling Fluids Through Utilization of a Comprehensive Mud-Report Database." In SPE Europe Energy Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225536-ms.
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