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Titlebook: Artificial Intelligence and Soft Computing; 12th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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期刊全称Artificial Intelligence and Soft Computing
期刊简称12th International C
影响因子2023Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad
视频video
发行地址State-of-the-art research.Fast-track conference proceedings.Unique visibility
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence and Soft Computing; 12th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings
影响因子The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013, held in Zakopane, Poland in June 2013. The 112 revised full papers presented together with one invited paper were carefully reviewed and selected from 274 submissions. The 57 papers included in the first volume are organized in the following topical sections: neural networks and their applications; fuzzy systems and their applications; pattern classification; and computer vision, image and speech analysis.
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Agent-Based Population Learning Algorithm for RBF Network Tuning the data under analysis. The performance of the RBF network depends on numerous factors. One of them is a value of the RBF shape parameter. This parameter has a direct impact on performance of the transfer function of each hidden unit. Values of the transfer function parameters, including the value
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Reinforcement Learning in Discrete Neural Control of the Underactuated Systemon-line adaptation of a neural network. The controlled system is of the ball and beam type, which is the nonlinear dynamical object with the number of control signals smaller than the number of degrees of freedom. The main part of the neural control system is the actor-critic structure, that comes u
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Associative Text Representation and Correctionnces. Text descriptions allow us define new terms, gather knowledge and learn more quickly thanks to the associative mechanisms that work in our brains. Automatic and intelligent text processing and compression are very important nowadays. This paper introduces a novelty associative way of storing,
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Some Aspects of Neural Network State Variable Estimator Improvement in Induction Motor Drivereference frame with the help of neural networks. Some modification of the training procedure is considered that leads to the estimator accuracy improvement. Provided tests confirmed this feature but further steps are necessary to increase state variables estimation in the low supplying frequency ra
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