Titlebook: Learning Systems and Intelligent Robots; K. S. Fu,Julius T. Tou Book 1974 Plenum Press, New York 1974 Pattern Matching.algorithms.artifici

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deficiency

A Mathematical Neuron Model which has a Staircaselike Response Characteristic,uron model is shown in Fig. 1, where two transistors, T. and T., together form a monostable circuit whose function is to produce a single pulse if the threshold is exceeded, and T. and T. form an amplifier and low impedance output source. The function of T. is to invert an otherwise excitatory input

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Performance Aspects of Stochastic Nonlinear System Classification by Pattern Recognition Methods,s recently been demonstrated. This paper examines the performance aspects of the classification technique by means of a theoretical approximation to the Bayes minimum classification error. The error is shown to be strongly dependent upon the pattern vector dimension thus showing that the classificat

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Albumin

A Survey of Heuristic Search Method of Multimodal Optimum Point,l, nonlinear, and unknown criterion function by using the sighted, blindfolded, and blind subjects. First, the paper defines a heuristic search, establishes an experimental method for such a heuristic search, and develops a series of heuristic search experiments. Second, the paper shows some example

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吵闹

Multi-Modal System Identifications by a Learning Procedure, to solving many scientific or industrial problems accompanying the optimization. Among many approaches to the multi-modal search, (1)–(4) the method due to the global function learning is considered as the fundamental one since this can obtain the total aspect of performance ranging over the signif

极少

On a Class of Variable-Structure Systems, and stochastic problems are considered for unbounded control and the cost functional quadratic in state. Solutions are obtained in closed-form..In the deterministic case, it is seen that the regular path and singular paths satisfying the functional equation of dynamic programming may exist simultan

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Adaptive Computer Aiding in Dynamic Decision Processes,in dynamic decision processes. Aiding information of several types comes from the on-line acquisition of the decision maker’s value structure by a trainable computer system. A maximum-likelihood model of real-world behavior is used to predict environment-state transitions, and an expected utility mo

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Optimal Learning Recognizer for Unknown Signal Sets in a Channel with Feedback Link,feedback is obtained which makes the average of forward signal transmission energy minimum. The extension of the proposed machine to nonsupervised problems is also discussed. The effectiveness of a feedback method over a non-feedback method is clarified. It is also tested by computer simulation.