On self-consistent sensory-motor learning algorithm
Shi‐Min Hu, Ping Yan, Yuanchun Li · 2002
The uniqueness of the weight vector for the self-consistent sensory-motor learning algorithm and the algorithm's convergence is investigated. The effect of the choice of the local receptive field's parameters to sensing noise, intrinsic unit noise, and target function is discussed. An adaptive strategy to choose the local receptive field's parameter is suggested.>