【摘要】 引荐了一种自动优化神经网络的新方法。这种启迪方法综合采用了相关有效算法,通过快速自底向上构造神经网络算法,可以获得优化结构的神经网络,即时选定参数算法动态优化神经网络的学习参数,并且快速交叉校验算法为解决过度适应问题提供了捷径。实验证明,这种启迪方法能自动有效地优化神经网络,与其它算法相较而言,具有更好的归纳性能、优化的网络结构和更快的学习速度。更多还原

【Abstract】 A new approach for the automated design of optimal neural network is presented.The heuristic approach em-ploys several efficient algorithms, such as construction of optimal network architecture via fast cascade-correlation, dy-namic optimization of learning parameters via simultaneous determination, avoiding overfitting problem via fast cross-val-idation.The experimental results show that the heuristic approach can automatically design optimal neural network withgood generalization capability and optimal network and short training time in comparison with other algorithms.更多还原