A Committee Machine with Two-layer Expert Nets

A CM with two-layer expert net(CM-2LE)is presented to overcome the lack of approximating ability of CM with single layer of expert net for complicated problems.The derived learning rules of the CM-2LE is proposed.Experiments is performed on both synthetic and real-life climatic data.Results show that the increasing number of hidden layer of an expert net in the CM can improve the approximating ability of the CMs.