Hopfield BP neural network
2016-11-11
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Designed mainly to achieve 5 neural network model: BP networks, linear neural networks, Hopfield networks, RBF networks, Elman network. And development of a graphical user interface system can demonstrate implementation of neural network models, and results are given.
Design (research) the emphasis and difficulty, the proposed approach (research method):
Key points: from many types of neural network model and algorithm for network, selected several model suitable for simulation and modeling; creating, training and simulation training function to adjust the right value; sample values selected for training; sketch of the classification chart and error analysis and comparative analysis of the advantages and disadvantages of a variety of neural network models.
Ways: Matlab good numerical ability, use it to simulate and neural network model with high efficiency, can achieve the desired results. Matlab neural network Toolbox, you can improve the speed and efficiency. Easy to use and
Design (research) the emphasis and difficulty, the proposed approach (research method):
Key points: from many types of neural network model and algorithm for network, selected several model suitable for simulation and modeling; creating, training and simulation training function to adjust the right value; sample values selected for training; sketch of the classification chart and error analysis and comparative analysis of the advantages and disadvantages of a variety of neural network models.
Ways: Matlab good numerical ability, use it to simulate and neural network model with high efficiency, can achieve the desired results. Matlab neural network Toolbox, you can improve the speed and efficiency. Easy to use and
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