|
|
[期刊论文]
|
|
Deterministic weight evolution algorithm for solving local minima problem
|
|
作 者：
|
Sin-Chun Ng;Chi-Chung Cheung;Shu-Hung Leung;
|
|
|
出版年：2000
|
|
页 码：1039 - 1039
|
|
出版社：Institution of Engineering and Technology (IET)
|
|
摘 要：
|
|
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
|
关键字：
|
|
backpropagation; convergence; evolutionary computation; feedforward neural nets; deterministic weight evolution algorithm; global convergence; local minima problem; multilayer feedforward neural networks; supervised learning
|
|
|
|
|
