Authors: Jan Helm
This paper presents in Part1 the basic theory of Neural Networks, and based on the standard (global) backpropagation algorithm, it introduces the local backpropagation algorithm: a layer-recurrent gradient algorithm with layer-specific target-vector. Furthermore in Part2 , it presents calculated application examples for global backpropagation networks, local backpropagation networks and evolving cross-mutated networks.
Comments: 45 Pages.
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[v1] 2021-05-23 07:45:16
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