基于遗传算法的Hopfield神经网络集成

Integration of Hopfield neural network based on genetic algorithms

针对遗传法中存在的缺欠,根据神经网络和遗传算法原理在优势互补的条件下,提出了一种新的求解方法,即GA-Hopfield网络方法;该方法就是利用GA很强的全局搜索能力来弥补Hopfield网络容易陷入局部最优的缺陷的优化方法,且对此模型进行了有效性验证,具有一定的理论研究和应用价值。

According to the conditions of their complementary strengths, a new method, GA-Hopfield network; This method analyzes the principles of neural networks and genetic algorithms, The overall approach is to use the search capability to cover the GA very difficult to locate the best Hopfield network Optimization of defects, Validation of the model is a theoretical study and application.