BMAC Neural Network and Its Application in Function Learning

BMAC neural network has been established by the introduction of B-splines into CMAC neural network. Ways of establishing BMAC and the specialties of BMAC output and its receptive field functions are described in details. BMAC has continuous input and output space compared with CMAC whose input and output space are dispersed. In function learning, BMAC approaches faster and is more accurate than CMAC. At the same time, rules of influence of the studying parameters and weights initialization in function learning are obtained.