Optimal Design and Algorithm of CMAC-Optimization of CMAC Displacement Vectors Distribution by Genetic Algorithm
CMAC最优设计及其算法——GA技术优化CMAC偏移矢量分布

Optimal design and algorithm of CMAC are implemented by genetic algorithm (GA) in this paper. Such a method has solved the optimization problem considering both CMAC and its learing objects. Simulations show that the proposed method is successful and effective. For different objects learned (such as space planes), different internal presentations (displacement vectors distribution)of CMAC can be found by GA, so that the optimal CMAC possesses higher learning precision than the general CMAC can reach. The proposed method has some improvements on both Albus' CMAC and Parks' CMAC. This method is suitable to the high precision learning problem. The CMAC algorithm for any displacement vectors distribution is also proposed.