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- W2389100204 abstract "Four kinds of heuristic methods including additional momentum BP algorithm, adaptive steepest descent BP algorithm, adaptive momentum BP algorithm and resilient BP algorithm are used to improve standard BP algorithm, and the corresponding BP neural networks are also established. The four kinds of classification methods are applied to classification of two-dimensional vectors. Then their generalization abilities are tested and the classification results of the four BP network are compared with each other. The simulation results show that for small and medium scale networks, BP neural network improved by resilient BP algorithm has the most accurate classification result, the fastest convergence speed and the best classification ability; the one improved by additional momentum BP algorithm has the biggest classification error, the slowest convergence speed and the worst classification ability; while the classification error, convergence speed and classification ability of BP neural network improved by adaptive steepest descent BP algorithm lie between the above two algorithms." @default.
- W2389100204 created "2016-06-24" @default.
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- W2389100204 date "2014-01-01" @default.
- W2389100204 modified "2023-09-28" @default.
- W2389100204 title "Comparative study of BPNNs improved by heuristic method in the field of pattern classification" @default.
- W2389100204 hasPublicationYear "2014" @default.
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