摘要: This paper describes the use of MINERVA adaptive computing system in an investigation feedback learning networks. The is such as to provide, at input network, information regarding action which network taking a result pattern on different set terminals. It will be shown that this type very sensitive small differences between incoming patterns and can provide basis model animal behaviour may found frogs when snapping insect.
sci-hub.se 参考文章(4)
I. ALEKSANDER, M.C. FAIRHURST, AN AUTOMATON WITH BRAIN‐LIKE PROPERTIES Kybernetes. ,vol. 1, pp. 11- 18 ,(1972) , 10.1108/EB005292
I. Aleksander, T.J. Stonham, Manissa J. Dobrée Wilson, Adaptive logic for artificially intelligent systems Radio and Electronic Engineer. ,vol. 44, pp. 39- 44 ,(1974) , 10.1049/REE.1974.0008
T.J. Stonham, I. Aleksander, M. Camp, M.A. Shaw, W.T. Pike, Automatic classification of mass spectra by means of digital learning nets Electronics Letters. ,vol. 9, pp. 391- 394 ,(1973) , 10.1049/EL:19730290
Marvin Lee Minsky, Seymour Papert, Perceptrons: An Introduction to Computational Geometry ,(1969)