神经网络基础问题整理（Neural network basic problem arrangement）.docVIP

神经网络基础问题整理（Neural network basic problem arrangement） 1 neural network textbooks, which is more classic? Neural network principle Simon Haykin? Zhongzhi translation history leaves the world? Neural network design Neural network books Neural network model and its matlab simulation program design Zhou K L (network object neural network model of neural network toolbox and neural network toolbox inside and its properties are discussed in detail, which is not in the neural network theory and the realization of MATLAB7 inside the book) Neural network theory and MATLAB7 implementation (this book is still good for beginners. Ive seen it and have a good understanding of the MATLAB neural network toolbox) Neural network design (I think this is a very good book, not a lot of theory, after reading, you will have a better understanding of the principles of neural networks) The theory and method of neural network structure design (this book describes some ways to improve the generalization ability of network, and there are programs at the end of the book, which should be helpful for the design of network structure.) Excerpt from a suggestion for the beginner matlab neural network 2 development and frontier problems of neural network theory The development and frontiers of neural network theory Liu Yong? This paper describes the history and present situation of development of neural network theory, on this basis, the main development trend and the problems are discussed. The paper also makes some comments, and put forward some new viewpoints. Keywords neural network theory, neural computation, evolutionary computation, research based on neuroscience and Mathematics View the original text What are the weights and thresholds of 3 neural networks? The weights and thresholds are the connections between neurons. The data input is calculated as an output, and then compared with the actual output, the error is transmitted back, and the weights and thresholds are adjusted continuously If p