必应词典为您提供neuro-fuzzysystem的释义,网络释义: 神经模糊系统;专家系统类神经网路;
human‐operated systemThis paper is about so-called neuro-fuzzy systems, which combine methods from neural network theory with fuzzy systems. Such combinations have been considered for several years already. However, the term neuro-fuzzy still lacks proper definition, and still has the flavour of ...
system hybrid intelligent system is one that combines is one that combines at least two intelligent technologies. For example, at least two intelligent technologies. For example, combining a neural network with a fuzzy system combining a neural network with a fuzzy system results in a hybrid neuro...
Introduction Fuzzy Reasoning Description of Fuzzy Inference Systems Logical‐Type Neuro-fuzzy Systems Mamdani‐Type Neuro-fuzzy Systems Simplified Neuro-fuzzy Systems Takagi–Sugeno Neuro-fuzzy Systems Neuro-fuzzy Systems with Weights Neuro-fuzzy Systems for Pattern Classification Learning Criteria Isolines Meth...
Fuzzy Logic and Neuro-fuzzy Systems: A SystematicIntroduction. International Journal of Artificial Intelligence and Expert Systems 2011;2(2):47-80.Wu, Y., Zhang, B., Lu, J., Du, K.L.: `Fuzzy logic and neuro-fuzzy system: a systematic introduction', Int. J. Artif. Intell. Expert ...
Concurrent Neuro-Fuzzy Systems for Resonant Frequency Computation of Rectangular, Circular, and Triangular Microstrip Antennas Ametho d based on concurrent neuro-fuzzy system (CNFS) is presented to calculate simultaneously the resonant frequencies of the rectangular, circular, and ... K Guney,N Sarikay...
专利名称：NEURO-FUZZY SYSTEMS 发明人：MAHFOUF, Mahdi,LINKENS, Derek Arthur,PANOUTSOS, George,CHEN, Minyou 申请号：EP06726584.3 申请日：20060330 公开号：EP1866850A2 公开日：20071219 专利内容由知识产权出版社提供 摘要：A systematic method of generating a neuro-fuzzy structure a system comprises:...
Neuro-Fuzzy Based Modeling for Photovoltaic Power Supply System Due to the increasing need for intelligent systems, the adaptive neuro-fuzzy inference system (ANFIS) has recently attracted the attention of researchers i... A Mellit,SA Kalogirou - IEEE International Power & Energy Conference 被引量:...
Fuzzy systems can be used for function approximation based on a set of linguistic rules. We present a method to obtain the necessary parameters for such a fuzzy system by a neuro-fuzzy training method. The learning algorithm is able to determine the structure and the parameters of a fuzzy sys...
Our main conclusions are: (1) The neuro-fuzzy system is able to forecast a synthetic chaotic time series with high accuracy if the number of inputs and the time delay between them are chosen adequately. (2) The Takens-Mane theorem from chaos theory gives a useful lower bound on the ...