DocumentCode :
328295
Title :
The softening learning procedure for the layered feedforward networks with multiple output nodes
Author :
Tsaih, Ray R.
Author_Institution :
Dept. of Manage. Inf. Syst., Nat. Chengchi Univ., Taipei, Taiwan
Volume :
1
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
593
Abstract :
When we encounter a new case (a new input/output relationship), we will first check if the knowledge we obtained so far could interpret it. If yes, there is no further learning effort involved. If no, we might cram this unfamiliar case; then meditate to reason out a way of integrating it into our knowledge. The author presents a learning algorithm, called the softening learning algorithm, that imitates this way of learning in human beings.
Keywords :
feedforward neural nets; inference mechanisms; knowledge acquisition; learning (artificial intelligence); layered feedforward neural networks; linearly separating condition; multiple output nodes; reasoning; softening learning; Computer networks; Feedforward systems; Humans; Management information systems; Softening; Terminology; Yttrium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.713985
Filename :
713985
Link To Document :
بازگشت