Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
The present paper proposes a mathematical the0ry of self-organi~ing nerve.nets, which is applicable to various types of supervised and unsuperv1sed lear~1ng, such as learning decision, concept formation, association, etc. Given an env1ronmentainformation source, a neural system auto~atically forms a number of separate rout1nes to process the signals in it. This kind of unsupervised self-organization underlies commonly in formation of categories, feature extractors. and content addressable . memories. This problem is analyzed mathematically, as well as models of topographlc organization of nerve fields and of associativ~ memories, by the pruposed method.
@inproceedings{ijcai1979p4,
title = {Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation},
author = {Amari, Shun-ichi},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/4},
}
TY - CPAPER TI - Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation AU - Amari, Shun-ichi T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/4 ER -Copied
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