DocumentCode
2697278
Title
A study of a divided learning method
Author
Yoshida, Masao ; Iwata, Akira ; Iijima, Nobukazu ; Ejiri, Ryuichi ; Izumi, Hiroyuki ; Sone, Mototaka ; Mitsui, Hideo
fYear
1990
fDate
17-21 June 1990
Firstpage
943
Abstract
A new learning method is proposed called the divided learning method. It is able to learn a large number of data. The method is based on human learning. Selecting the number of neurons in the hidden layer makes the learning time almost equal to or shorter than that of the usual method. Using this method, learning for character recognition was carried out with NEURO TURBO, a neural network accelerator
Keywords
character recognition; learning systems; neural nets; NEURO TURBO; character recognition; divided learning method; hidden layer; human learning; learning time; neural network accelerator; neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137814
Filename
5726772
Link To Document