【摘要】 本文提出了一种用于多层前馈神经网络训练的新算法，它把遗传算法与自适应变形梯度学习算法集成起来。这种并行混合学习算法已经在ＭＩＭＤ平台实现了。通过把该算法用于二个图像识别领域例子，对它的性能进行了评估。本文还显示了所提出的并行混合神经网络学习算法的良好的收敛性。更多还原

【Abstract】 A new algorithm is presented for training multilayer feedforward neural networks by integrating a genetic algorithm with an adaptive conjugate gradient neural network learning algorithm. This parallel hybrid algorithm hasbeen implemented on an MIMD platform. The performance of the algorithm has been evaluated by applying it to two examples in the domain of image recognition. This parallel hybrid neural network learning algorithm presented in this paper has superior convergente properties.更多还原