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For the classical BP algorithm has some deficiencies, such as the accuracy is insufficient, the rate of convergence does not descend, weight value closes to zero. This paper proposes the AB neural network to adjust the step and the hidden-layer neurons algorithm based on BP network. Network A with learning ability configures and adjusts the structure of Network B and trains it, by adjusting the step...
To address the unconstrained optimization problem, the Conjugate Gradient Method (CG) uses the sequence of iterations to approach the minimum point of aim function. Because of the effect of rounding errors, many merits of CG are no longer in existence in practical use. Hence the rate of convergence is not ideal and a practical problem confronting us is how to improve conjugate gradient iteration so...
Generalization capability is a key flag to evaluate the performance of a learning system. Neural network ensemble can greatly improve the generalization capability of a learning system by training many neural networks and composing the result of them. In this paper, based on the theory of neural network ensemble, we present a constructive algorithm to improve the generalization capability of coverage-based...
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