节点文献
求解极小l1模和极小l∞模的神经网络
An Neural Network Approach to Computing l1 Norm Minimization and l∞ Norm Minimization
【摘要】 将极小l1模和极小l∞模问题同时映射到一个易于电路实现的神经网络模型上[1],利用该网络,可获得极小ι1模和极小ι∞模问题的实时最优解。
【Abstract】 An neural network approach to computing ι1 norm minimization and ι∞ norm minimization is presented. The problems of ι1 norm minimization and ι∞ norm minimization are mapped onto a neural network model which can be realized easily by circuits. When the circuits which make up the neural network model reaches the stable state, the output of network will give the optimal solutions for the problems of ι1 norm minimization and ι∞ norm minimization.
- 【文献出处】 南京邮电学院学报 ,JOURNAL OF NANJING INSTITUTE OF POSTS AND TELECOMMUNICATIONS , 编辑部邮箱 ,1996年01期
- 【分类号】TP183
- 【下载频次】17