Academic literature on the topic 'Batch Back-propagation algorithm'
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Journal articles on the topic "Batch Back-propagation algorithm"
Al Duais, Mohammed Sarhan, and Fatma Susilawati Mohamad. "Dynamically-adaptive Weight in Batch Back Propagation Algorithm via Dynamic Training Rate for Speedup and Accuracy Training." Journal of Telecommunications and Information Technology 4 (December 20, 2017): 82–89. http://dx.doi.org/10.26636/jtit.2017.113017.
Full textMOHAMMED, SARHAN AL_DUAIS, A.G. AL KHULAIDI ABDUALMAJED, SUSILAWATI. MOHAMAD FATMA, et al. "AUTO-ADAPTIVE THE WEIGHT IN BATCH BACK PROPAGATION ALGORITHM VIA DYNAMIC LEARNING RATE." Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 42, no. 09 (2023): 131–45. https://doi.org/10.5281/zenodo.8348528.
Full textJayakumar, Santhakumar, Sathish Kannan, Poongavanam Ganeshkumar, and U. Mohammed Iqbal. "Reinventing the Trochoidal Toolpath Pattern by Adaptive Rounding Radius Loop Adjustments for Precision and Performance in End Milling Operations." Journal of Manufacturing and Materials Processing 9, no. 6 (2025): 171. https://doi.org/10.3390/jmmp9060171.
Full textZhang, Huisheng, Wei Wu, and Mingchen Yao. "Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks." Neurocomputing 89 (July 2012): 141–46. http://dx.doi.org/10.1016/j.neucom.2012.02.029.
Full textNandani, E. J. K. P., and T. T. S. Vidanapathirana. "Forecasting Paddy Yield in Sri Lanka Using Back-propagation Learning in Artificial Neural Network Model." Journal of the University of Ruhuna 12, no. 2 (2024): 110–20. https://doi.org/10.4038/jur.v12i2.8032.
Full textSaranya, N., and Priya S. Kavi. "Deep Convolutional Neural Network Feed-Forward and Back Propagation (DCNN-FBP) Algorithm for Predicting Heart Disease using Internet of Things." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 1 (2021): 83–87. https://doi.org/10.35940/ijeat.A3212.1011121.
Full textN, Saranya, and Kavi Priya S. "Deep Convolutional Neural Network Feed Forward and Back Prop a gation (DCNN F BP) Algorithm f or Predicting Heart Disease u sing Internet o f Things." International Journal of Engineering and Advanced Technology 11, no. 1 (2021): 283–87. http://dx.doi.org/10.35940/ijeat.a3212.1011121.
Full textMohammed, Sarhan Al_Duais, and Susilawati Mohamad Fatma. "Improved Time Training with Accuracy of Batch Back Propagation Algorithm Via Dynamic Learning Rate and Dynamic Momentum Factor." International Journal of Artificial Intelligence (IJ-AI) 7, no. 4 (2018): 170–78. https://doi.org/10.11591/ijai.v7.i4.pp170-178.
Full textAl_Duais, Mohammed Sarhan, and Fatma Susilawati Mohamad. "Improved Time Training with Accuracy of Batch Back Propagation Algorithm Via Dynamic Learning Rate and Dynamic Momentum Factor." IAES International Journal of Artificial Intelligence (IJ-AI) 7, no. 4 (2018): 170. http://dx.doi.org/10.11591/ijai.v7.i4.pp170-178.
Full textHu, Zhang, and Wei Qin. "Fuzzy Method and Neural Network Model Parallel Implementation of Multi-Layer Neural Network Based on Cloud Computing for Real Time Data Transmission in Large Offshore Platform." Polish Maritime Research 24, s2 (2017): 39–44. http://dx.doi.org/10.1515/pomr-2017-0062.
Full textBook chapters on the topic "Batch Back-propagation algorithm"
Benes, Peter Mark, Miroslav Erben, Martin Vesely, Ondrej Liska, and Ivo Bukovsky. "HONU and Supervised Learning Algorithms in Adaptive Feedback Control." In Advances in Computational Intelligence and Robotics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0063-6.ch002.
Full textConference papers on the topic "Batch Back-propagation algorithm"
Albarakati, Noor, and Vojislav Kecman. "Fast neural network algorithm for solving classification tasks: Batch error back-propagation algorithm." In IEEE SOUTHEASTCON 2013. IEEE, 2013. http://dx.doi.org/10.1109/secon.2013.6567409.
Full textXu, Lei, Lei Hou, Yu Li, Zhenyu Zhu, Jiaquan Liu, and Ting Lei. "A Hybrid PSO-BPNN Model Approach for Crude Oil Pipeline Electrical Energy Consumption Forecasting." In ASME 2020 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/pvp2020-21227.
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