返老还童 发表于 2025-3-30 10:26:32
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https://doi.org/10.1007/978-3-642-12990-2Transport; cognition; electrical engineering; fuzzy; image processing; neural network; optimization; patter轨道 发表于 2025-3-30 20:27:40
978-3-662-51988-2Springer Berlin Heidelberg 2010patella 发表于 2025-3-30 23:56:38
Advances in Neural Network Research and Applications978-3-642-12990-2Series ISSN 1876-1100 Series E-ISSN 1876-1119万神殿 发表于 2025-3-31 03:07:23
André Pereira,Manuel Correia,Pedro Brandãotrophe theory to determine whether the rock burst. And then the experimental data recorded are used for examining the model. The results show that the degree of prediction accuracy is high, and it proves that the prediction model of rock burst is feasible.带来 发表于 2025-3-31 07:57:28
Bart Decker,Jorn Lapon,Andreas Uhl island intensity in Chuxiong city in 2006 with backpropagation neural network. The predicted value was 2.1815°C. Compared with its measured value, residual error was 0.1042, relative error was 4.5588model and GM(1,1) model. The result shows that backpropagation neural network is effective to predict urban heat island intensity.Congruous 发表于 2025-3-31 13:09:15
Lecture Notes in Computer Sciencehe acquired data series are non-linear and non-Gaussian. In this paper, Multi Layer Perceptrons (MLP) trained with minimizing error entropy (MEE) algorithm is utilized to forecast electricity price. Compared with the conventional MLP with mean square error (MSE) criterion, the proposed approach can achieve better performance in simulated examples.清晰 发表于 2025-3-31 13:41:55
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1876-1100 sium on Neural Networks (ISNN 2010) , Shanghai June 6-9 2010This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international