Titlebook: Advances in Soft Computing; Engineering Design a Jose Manuel Benítez,Oscar Cordón,Rajkumar Roy Conference proceedings 2003 Springer-Verlag

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Hemodialysis

Fault Diagnosis of Air-conditioning System Using CMAC Neural Network Approach of human being, the proposed CMAC neural network fault diagnosis scheme enables a powerful, straightforward, and efficient fault diagnosis. Furthermore, the following merits are obtained: 1) High accuracy. 2) High noise rejection ability. 3) Suit to multi-faults detection. 4) Memory size is reduced by new excited addresses coding technique.

Repatriate

Canadian Weather Analysis Using Connectionist Learning Paradigms an accurate and reliable predictive model for weather analysis. Experimental results obtained have shown Radial Basis Function Network (RBFN) produced the most accurate forecast model compared to ERNN and MLP.

LEER

TACDSS: Adaptation Using a Hybrid Neuro-Fuzzy System Experiment results clearly demonstrate the efficiency of the proposed technique. Some simulation results demonstrating the difficulties to decide the optimal number and shape of the membership functions are also provided.

充氣球

Perennial長期的

Artificial Neural Networks Design using Evolutionary Algorithmsrch space where finding good solutions, even if this space is large and contains multiple local optimum..This paper intends to be an updated review of the field of design of hybrid EA/ANN methods building on previous reviews such as [1, 2, 3], and also paying special attention to aspects such as variation operators, software and applications.

DENT

Fuzzy Self-Organizing Map based on Regularized Fuzzy c-means Clusteringcenters. Coding the values of the cluster centers with colors, regions with different colors evolve on the map and the hidden relation between the variables reveal. Comparison to the existing modifications of the fuzzy c-means algorithm and several application examples are given.

Water-Brash

Andrzej Wardziński,Aleksander Jarz?bowicz of human being, the proposed CMAC neural network fault diagnosis scheme enables a powerful, straightforward, and efficient fault diagnosis. Furthermore, the following merits are obtained: 1) High accuracy. 2) High noise rejection ability. 3) Suit to multi-faults detection. 4) Memory size is reduced by new excited addresses coding technique.

截斷

Computer Safety, Reliability, and Security an accurate and reliable predictive model for weather analysis. Experimental results obtained have shown Radial Basis Function Network (RBFN) produced the most accurate forecast model compared to ERNN and MLP.

伸展

Computer Safety, Reliability, and Security Experiment results clearly demonstrate the efficiency of the proposed technique. Some simulation results demonstrating the difficulties to decide the optimal number and shape of the membership functions are also provided.