Title :
Discrete time neural network synthesis using input activation functions
Author :
Novakovic, Branko M.
Author_Institution :
FSB, Zagreb Univ., Croatia
Abstract :
A new possibility of synthesis of a new structure of neural networks (NN) is presented, where the following concepts are employed: (i) combination of input and output activation functions, (ii) input time-varying signal distribution, (iii) time-discrete domain synthesis and (iv) one-step learning iteration approach. The proposed NN synthesis procedures are useful for applications to identification and control of dynamical systems. The functionality of the proposed NN structure has been demonstrated with two numerical examples
Keywords :
iterative methods; learning (artificial intelligence); neural nets; transfer functions; discrete-time neural network synthesis; input activation functions; input time-varying signal distribution; one-step learning iteration approach; output activation functions; time-discrete domain synthesis; Backpropagation algorithms; Biological system modeling; Control system synthesis; Electronic mail; Network synthesis; Neural networks; Neurons; Robots; Signal synthesis; Supervised learning;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400248
