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04/01/2020 — Resilient Backpropagation. خوارزميات االنتشار الخلفي المرن. RMSE. Root Means Square Error. الجذر التربيعي لمتوسط مربعات األخطاء. بواسطة MMA Shahata · 2017 — build a neuro-fuzzy forecasting model. The objective of this research is to present a mid- term electric load forecasting model using an adaptive 05/07/2022 — PDF | Artificial neural networks are algorithms for cognitive tasks, such as learning Architecture of a back-propagation neural network. The neural network is multi-layered feedforward type, with back-propagation learning algorithm . The model is used to estimate the proper national expenditure بواسطة N Metwally · 2020 — different sample sizes(10,20,30) and different parameters sets The iterative process of the back-propagation training. بواسطة SM Baraka · 2019 — method was the back-propagation algorithm by Basically back-propagation consisted of the training patterns; each consisting of an example of. بواسطة S Nazir · 2020 · تم اقتباسها في عدد: 4 — Publisher's PDF, also known as Version of record labelledtrueandfalseexamplesarerequiredinsupervisedlearningtotraintheANNbeforegood.بواسطة HD Najeeb · 2017 · تم اقتباسها في عدد: 2 — Keywords: image compression , MultiLayer Perceptron (MLP) , Back-Propagation algorithm, Compress ratio, Mean Square Error (MSE), Peak signal-to-noise ratio New neural network / math / c++ blog post: How to Train Neural Networks With Backpropagation
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