With this model, the initial weights and threshold values of the neural network are optimized using GA to avoid the possibility of local search minimum.
该模型采用GA对神经网络的初始权值和阈值进行优化，以避免可能的局部搜索最小现象。
The result of maximum energy method depends on the initial values of residual statics. The solution is often trapped into the local minimum of the objective function.
最大能量法的结果受初始静校正量的影响，它的解容易陷入目标函数的局部极小值。
The design of CHNN should ensure that the networks always converge to a steady sate corresponding to a local minimum point of energy function by running in spite of starting from any initial values.
CHNN的设计应保证，无论从何种初值出发，网络总能通过运行收敛到一个稳定状态，它相应于能量函数的某个局部极小点。
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