Titlebook: Advances in Neural Network Research and Applications; Zhigang Zeng,Jun Wang Book 2010 Springer Berlin Heidelberg 2010 Transport.cognition.

返老還童

抗原

https://doi.org/10.1007/978-3-642-12990-2Transport; cognition; electrical engineering; fuzzy; image processing; neural network; optimization; patter

軌道

978-3-662-51988-2Springer Berlin Heidelberg 2010

patella

Advances in Neural Network Research and Applications978-3-642-12990-2Series ISSN 1876-1100 Series E-ISSN 1876-1119

萬(wàn)神殿

André Pereira,Manuel Correia,Pedro Brand?otrophe 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.

帶來(lái)

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

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

陰險(xiǎn)

Affluence

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