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Titlebook: Aspects of Soft Computing, Intelligent Robotics and Control; János Fodor,Janusz Kacprzyk Book 2009 Springer-Verlag Berlin Heidelberg 2009

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發(fā)表于 2025-3-21 16:49:11 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Aspects of Soft Computing, Intelligent Robotics and Control
影響因子2023János Fodor,Janusz Kacprzyk
視頻videohttp://file.papertrans.cn/164/163112/163112.mp4
發(fā)行地址State of the art of Soft Computing, Intelligent Robotics and Control
學科分類Studies in Computational Intelligence
圖書封面Titlebook: Aspects of Soft Computing, Intelligent Robotics and Control;  János Fodor,Janusz Kacprzyk Book 2009 Springer-Verlag Berlin Heidelberg 2009
影響因子.Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment. Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this volume leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics and control. T
Pindex Book 2009
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Aggregation Functions in Fuzzy Systemsm are applied. Typical examples of such systems consist of, but not limited to, fuzzy control, decision support and expert systems. In most cases, the aggregation operators are defined on a pure axiomatic basis and are interpreted either as logical connectives (such as t-norms and t-conorms) or as a
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發(fā)表于 2025-3-22 01:18:04 | 只看該作者
Neural Networks or Fuzzy Systemsi Layer Perceptron is also one of the least efficient ones. Also most commonly used EBP – Error Back Propagation algorithm is not only very slow, but also it is not able to find solutions for optimal neural network architectures. EBP can solve problems only when large number of neurons is used, but
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New IEC Research and Frameworksoptimization technique to embed IEC user’s subjective evaluations based on his/her domain knowledge, experiences, and preferences into several designs and has been applied to wide varieties of applications in artistic, engineering, and others for these 20 years. The approach of almost them can be sa
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Fuzzy Inference-Based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal SpaceA mentality expression system based on the affinity pleasure-arousal space by eye robot is proposed. The three-dimensional affinity pleasure-arousal space is proposed to express mentality states with fuzzy inference. The eye robot that performs eye motions is developed based on the human mechanisms.
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Fuzzy Communication and Motion Control by Fuzzy Signatures in Intelligent Mobile Robotsrift control method base on fuzzy signatures. This method considers the motion system of the robot as a whole, unlike as simple parts of a complex system. The state space is written down by fuzzy signatures which add up flexibility, adaptability and learning ability to the system. In the second expe
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