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Self-organizing fuzzy neural networkNeuronal activitySingular value decompositionAdaptive learning algorithmIn this paper, a novel self-organizing fuzzy neural network with an adaptive learning algorithm (SOFNN-ALA) for nonlinear system modeling and identification in industrial processes is proposed. To ...
The simulation results demonstrate that the proposed SOFNN-HPS algorithm can obtain a self-organizing fuzzy neural network with compact structure and powerful generalization performance. The source codes of SOFNN-HPS and other competitors can be downloaded from https://github.com/hyitzhb/SOFNN-HPS....
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Recent works have shown that graph neural networks (GNNs) can substantially improve the performance of fewshot learning benefitting from their natural ability to learn interclass uniqueness and intra-class commonality. However, previous GNN methods have not achieved satisfactory performance due to the ...
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模糊神经网络就是模糊理论同神经网络相结合的产物,它汇集了神经网络与模糊理论的优点,集学习、联想、识别、信息处理于一体。 查看详情 维基百科版本 神经模糊杂交导致混合智能系统通过将模糊系统的类人推理风格与神经网络的学习和连接结构相结合来协同这两种技术。神经模糊杂交在文献中被广泛称为模糊神经网络(FNN)或神经模...
Accept all cookies Abstract Z-numbers were introduced by Zadeh in 2011 as a pair of fuzzy numbers (A,B), whereAis interpreted as a fuzzy restriction on the values of a variable, whileBis interpreted as a measure of certainty or sureness ofA. From the initial proposal, several other approac...
EE7207 Neural & Fuzzy Systems. Contribute to NTU-CCA/EE7207 development by creating an account on GitHub.
GitHub is where people build software. More than 56 million people use GitHub to discover, fork, and contribute to over 100 million projects.