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The Improvement of BP Algorithm and Its Application
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2000
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Artificial IntelligenceBp AlgorithmEvolving Neural NetworkEngineeringMachine LearningIndustrial EngineeringAlgorithm DesignBack Propagation LearningNeural NetworkAlgorithm ImplementationComputer EngineeringComputer ScienceManagement AlgorithmCombinatorial OptimizationArtificial Neural NetworkOperations Research
In this paper, BP algorithm of artificial neural network is improved, the self adjusted algorithm of all parameters has been proposed for the back propagation learning, and programmed a C language procedure. It can make the selection of hidden layer units and rate of studying easily in the course of training, reduce ar ti ficial influence and improve the adaptive ability of rate of studying and neural network. Our conclusion shows that the self adjusted BP algorithm of all parameters is superior to the statistical modeling approach, the model of artificial neural network in training can not only exactly imitate training valuation but also make prediction accurately.