Results 21 to 30 of about 190,933 (296)
Genetic algorithm design of neural network and fuzzy logic controllers [PDF]
Genetic algorithm design of neural network and fuzzy logic ...
Chiu, K. S., Hunter, Andrew
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The paper studies the global exponential synchronization problem of the memristor-based fuzzy cellular neural networks. First, by utilizing the Filippov solution and the measurable selection theorems, the memristor-based fuzzy cellular neural network is ...
MU Xiaohui;TANG Rongqiang;YANG Xinsong
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Neuro fuzzy control of the FES assisted freely swinging leg of paraplegic subjects [PDF]
The authors designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three `swing phase objectives', characteristic of natural human gait.
Spek, Jaap H. van der +3 more
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To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of ...
Zhihong QIAN +3 more
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An artificial intelligence method for comprehensive evaluation of preschool education quality
The evolution in the quality of teaching for preschool education is worth studying. In this article, we solved the qualitative problems in the comprehensive quality evaluation by suggesting a method of quantitative combination and establishing a set of ...
Peilin Niu
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Robustness analysis of fuzzy cellular neural networks with deviating arguments and stochastic disturbances is the main topic of discussion in this paper. The issue at hand is what the upper bounds of the disturbances and deviating intervals for the fuzzy
Fang Wenxiang, Xie Tao, Li Biwen
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Landsat Satellite Image Segmentation Using the Fuzzy ARTMAP Neural Network [PDF]
This application illustrates how the fuzzy ARTMAP neural network can be used to monitor environmental changes. A benchmark problem seeks to classify regions of a Landsat image into six soil and crop classes based on images from four spectral sensors ...
Asofur, Yousif R. +2 more
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Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor
In this paper, a neuro-fuzzy fault diagnosis scheme is presented and its ability to detect and isolate sensor faults in an induction motor is assessed.
M. L. Benloucif
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Due to the fact that the fluctuation of network traffic is affected by various factors, accurate prediction of network traffic is regarded as a challenging task of the time series prediction process. For this purpose, a novel prediction method of network
Kun Zhang +3 more
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In this paper, the author research on electrical equipment’s fault diagnosis based on the improved support vector machine and fuzzy clustering. Combining the support vector combined fuzzy sets and neural network to carry on the fault diagnosis is a most ...
Yuling Yan
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