Control Strategy of Robotic Manipulator Based on Flexible Neural Network Structure
作者： Mohammad Teshnehlab , Keigo Watanabe
DOI: 10.1007/978-94-011-0305-3_12
关键词: Simple (abstract algebra) 、 Artificial neural network 、 Process (computing) 、 Parallel processing (DSP implementation) 、 Computer science 、 Information processing 、 Connection (mathematics) 、 Structure (mathematical logic) 、 Artificial intelligence 、 Mobile manipulator
摘要: The artificial neural networks (ANNs) application for computing has currently emerged as an important information processing technique. In some way, the ANNs are a parallel artichecture in which large number of neurons interconnected and knowledge is represented by connection weights between neurons. adjusted through learning process. knowlegde distributed over so that operation these degrade peacefully, even parts disconnected. But there big problem with this kind structure. This structure can be good candidate simple systems, not scale-systems real applications.
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