DocumentCode
1816426
Title
A new neuron model for additional learning
Author
Fukuda, Toshio ; Shiotani, Shigetoshi ; Arai, Fumihito
Author_Institution
Dept. of Mech. Eng., Nagoya Univ., Japan
Volume
1
fYear
1992
fDate
7-11 Jun 1992
Firstpage
938
Abstract
A novel neuron model called the new neural network (NNN) is proposed. It is shown that the NNN can learn and memorize additionally and recognize unlearned patterns by its generalization for two simulations on recognition. The NNN can recognize unlearned patterns more efficiently than backpropagation by the evaluation function in which the similarity is considered. The NNN has two excellent abilities: additional learning and superior generalization
Keywords
learning (artificial intelligence); neural nets; pattern recognition; NNN; additional learning; backpropagation; neuron model; new neural network; unlearned patterns; Cities and towns; Humans; Image recognition; Mechanical engineering; Neural networks; Neurons; Pattern matching; Pattern recognition; Resonance; Subspace constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.287066
Filename
287066
Link To Document