中文摘要：

针对一种以幂函数序列为各隐神经元激励函数的前向神经网络,提出了一种基于权值直接确定方法的网络最优结构确定算法。计算机仿真与验证结果表明,该算法能自动、快速、有效地确定网络的最优隐神经元数,达到网络的最佳逼近能力,从而实现网络结构的最优化。

英文摘要：

For a kind of feed-forward neural net with hidden-neurons＇ activation-functions being a sequence of power functions,an optimal network-structure determination algorithm is proposed based on the weights-direct-determination method.Com-puter simulation and verification results indicate that the algorithm can determine the optimal number of hidden-layer neurons automatically,quickly and effectively,which achieves the best approximation ability of the neural net and thus realizes the network-structure optimization.