【摘要】 针对运输问题的特点,利用连续Hop-field神经网络中能量函数的概念和含义确定网络电路的参数并证明系统的稳定性。将优化运输问题转换成求解网络系统的平衡点,采用制成的神经网络电路优化计算速度快、实时性强,通过计算机仿真计算证明了系统的有效性、可行性。同时也给其他线性、非线性规划问题的优化提供了新的途径。更多还原

【Abstract】 Regarding the characteristics of transportation issues, the paper defines the parameters of network circuit and demonstrates the reliability of system by means of energy function concept and content in continuous Hopfield nerve network. The optimization of transportation issues is then transformed into seeking the break-even point of the network system. The existing nerve network circuit has a good optimization performance in calculation speed and promptness. The computer simulation shows the effectiveness and reliability of this system. In the meanwhile, the paper provides new approaches in solving other linear and non-linear planning issues.更多还原