A remark on the error-backpropagation learning algorithm for spiking neural networks
β Scribed by Jie Yang; Wenyu Yang; Wei Wu
- Book ID
- 113449398
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 187 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0893-9659
No coin nor oath required. For personal study only.
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The ability of a neural network with one hidden layer to accurately learn a specified learning set increases with the number of nodes in the hidden layer; if a network has exactly the same number of internal nodes as the number of examples to be learnt, it is theoretically able to learn these exampl
An algorithm ./or the training of mtdtilayered neural networks solely based on linear algebraic methods is presented. Its convergence speed up to a certain limit t~flearning accura~3' is orders o./magnitude better than that of the classical back propagation. Furthermore. its learning aptitude increa