GA—ANN算法在产品质量估计中的应用
The Application of GA-ANN Algorithm in Product Quality Estimation
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摘要: 针对反向传播(BP)算法,径向基函数(RBF)算法的不足,提出了基于遗传算法(GA)确定神经网络构或权值的进化神经网络算法(简称GA-ANN算法)。在产品质量估计仿真研究中表明,该算法不需试凑而取得较好的网络结构和参数。Abstract: In order to improve the performance of BP and RBF algorithms, a new one called GA ANN algorithm is presented in this paper. Because of incorporating a genetic algorithm, it can perform a function of evolution and determin the structure of neural networks or values of weights and other parameters fairly well, without making unnecessary try and error method. The simulation research on product quality estimation has demostrated it in this regard.