## Computer and information sciences: proceedings |

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### Contents

INTRODUCTION | 12 |

Sour FUNDAMENTAL Tmsomams or PERCEPTRON THEORY | 67 |

HYPERPLANES HYPERSPHERES AND HYPERQUADRICS AS | 111 |

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### Common terms and phrases

A-units active Adaline adaptive algorithm applied artiﬁcial associator assumed automata automaton behavior billion-gate computer Boolean algebra boundary C-system circuit classiﬁcation cognitive concept conditional probabilities conﬁguration considered control system corresponding covering homotopy decision theory deﬁned deﬁnition described determined dipsome distribution elements equation equivalent example ﬁber ﬁeld ﬁlter ﬁnd ﬁnite ﬁrst ﬁxed functor given heuristic homotopy hyperplane hypersphere identiﬁed input intelligence intersection learning linear logic machine mapping mathematical matrix measurement space measurements mechanism memory neuron normal obtained operation optimum output parameters particular partition pattern classes pattern recognition perceptron performance possible probability problem procedure properties represent sample satisﬁed self-organizing self-organizing system semigroup sequence shown in Fig signals signiﬁcant solution space speciﬁc statistical statistically independent stimulus structure subset supervised learning symmetric theorem theory threshold tion units values variables vector weights zero