Department of Mechanical Engineering, Okayama University of Science
Abstract
In this paper, a learning method for multi-layers neural network in system controller is discussed and the method is simulated for 3-layers neural network. The results obtained are summarized as follows. 1) Neural network in system controller is charactrized as a function generator between input and output. 2) Learning curve of neural network has a saturation characteristic. 3) Genarated fuction does not change largely due to the number of intermediate layer neurons. 4) Precision of approximation in genarated function does not change largely due to the number of teaching value. 5) Precision of approximation in parallel learning of two functions is nearly equal to that in learning of each function
