摘要
提出了一种求解线性等式与不等式组的神经网络模型,该模型避免了惩罚函数模型的缺点,当模型达到稳态时,网络输出将给出问题的精确解。作为一个应用。
A neural network model for solving linear inequalities and equations is presented.The model can avoid the disadvantage of the penalty function model.When the model arrives at the stable state,the output of network will give the exact solution of the problem.As a application,the neural network model for solving a sort of linear programming problems can be derived from the proposed neural network model.
出处
《南京邮电学院学报》
北大核心
1996年第4期101-103,共3页
Journal of Nanjing University of Posts and Telecommunications(Natural Science)