Title :
Tree learning algorithm of neural networks
Author :
Hou, Liya ; Zhang, Weiyi ; Watanabe, Kajiro
Author_Institution :
Dept. of Syst. Control Eng., Hosei Univ., Tokyo, Japan
Abstract :
This paper describes the tree learning algorithms, which are based on the structure analysis of the informations of the outward world and neural networks, in detail. The state change over and the learning in sense groups and knowing groups of the neural networks are examined by examples. The results show that the algorithms are reasonable, simple and fast.
Keywords :
inference mechanisms; learning (artificial intelligence); neural nets; knowing groups; sense groups; state change over; structure analysis; tree learning algorithm; Algorithm design and analysis; Arithmetic; Artificial neural networks; Control engineering; Electronic learning; Fires; Joining processes; Linear matrix inequalities; Neural networks; Physics;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.716740
