Title:
BP-neural-network-prediction-method
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- matlab
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- Update:
- 2013-06-22
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- 陈发东
Description: BP (Back Propagation) network is proposed in 1986, a team of scientists led by Rumelhart and McCelland, is one kind according to the error back-propagation algorithm for training multilayer feedforward network, is one of the most widely used at present neural network model. BP network can learn and store a lot of input- output model mapping, without prior to reveal the mathematical equations describing the mapping relation. Its learning rule is to use the steepest descent method, through the back-propagation network to continuously adjust the weights and thresholds of the network, the error square and minimum. BP neural network topology, including input layer, hidden layer (input) (hide layer) and the output layer (output layer).
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BP神经网络预测法.txt
Single exponential smoothing.txt
加权移动平均法.txt
简单移动平均法.txt
趋势移动平均法.txt
