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[期刊论文]
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Deterministic weight evolution algorithm for solving local minima problem
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作 者:
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Sin-Chun Ng;Chi-Chung Cheung;Shu-Hung Leung;
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出版年:2000
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页 码:1039 - 1039
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出版社:Institution of Engineering and Technology (IET)
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摘 要:
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A new algorithm is proposed to enable local minima to be escaped
from by changing the weights of a multi-layer neural network in a
deterministic way. Simulation results show that the new algorithm always
outperforms other traditional methods in achieving global convergence
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关键字:
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backpropagation; convergence; evolutionary computation; feedforward neural nets; deterministic weight evolution algorithm; global convergence; local minima problem; multilayer feedforward neural networks; supervised learning
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