遗传神经网络在家具板材优化下料问题中的应用

The utilization of genetic neural network algorithm on furniture optimal allocating problems

阐明了遗传算法和神经元网络结合的必要性和可行性 ,通过用遗传算法训练前馈神经网络权值解决家具板材优化下料问题并给出实验结果。

This paper introduces the necessity and the possibility of the combination of genetic algorithm(GA)and artificial neural network(ANN),and applies the GA to determine the neural network weights,then uses it in solving furniture optimization allocating problems and presents the testing result.