摘要
针对新疆的物流提出一种基于Hopfield网络的方法,物流问题是一个典型的优化组合的问题,快速有效地解决物流路径问题具有非常重要的理论意义和实际价值。模拟实验表明,该方法迭代次数少、收敛速度快,易于获得有效解和全局最优解。
This paper proposes an algorithm of solving the logistic of Xinjang based on Hopfield network learning.The logistic problem is a typical combination optimization problem.It has important theoretical significance and high practical values to solve the problem quickly and effectively.The simulation experiment show that this algorithm has less iterations,faster convergence speed,and is easy to obtain effective and global optimal solution.
出处
《西昌学院学报(自然科学版)》
2011年第2期60-61,72,共3页
Journal of Xichang University(Natural Science Edition)
基金
四川省教育厅重点科研项目"基于GPS
GPRS和Internet的分布式追踪器监控系统"(项目编号0:8ZA016)
关键词
人工神经网络
反馈
神经元
矩阵
Artificial neural network
Feedback
Neurons
Matrix