Knowledge Commons of Institute of Automation,CAS
A simplified recurrent neural network for solving nonlinear variational inequalities | |
Long Cheng![]() ![]() ![]() | |
2008 | |
会议名称 | IEEE International Joint Conference on Neural Networks (IJCNN) |
会议日期 | JUN 01-08, 2008 |
会议地点 | Hong Kong |
会议举办国 | China |
摘要 | A recurrent neural network is proposed to deal with the nonlinear variational inequalities with linear equality and nonlinear inequality constraints. By exploiting the equality constraints, the original variational inequality problem can be transformed into a simplified one with only inequality constraints. Therefore, by solving this simplified problem, the neural network architecture complexity is reduced dramatically. In addition, the proposed neural network can also be applied to the constrained optimization problems, and it is proved that the convex condition on the objective function of the optimization problem can be relaxed. Finally, the satisfactory performance of the proposed approach is demonstrated by simulation examples. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23159 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
推荐引用方式 GB/T 7714 | Long Cheng,Zeng-Guang Hou,Min Tan,et al. A simplified recurrent neural network for solving nonlinear variational inequalities[C],2008. |
条目包含的文件 | 条目无相关文件。 |
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