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

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发表于 2025-3-21 17:05:38 | 显示全部楼层 |阅读模式
期刊全称Advances in Soft Computing
期刊简称Engineering Design a
影响因子2023Jose Manuel Benítez,Oscar Cordón,Rajkumar Roy
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发行地址New and highly advanced research results in the field of soft computing are explored in this collection of papers from world-renowned experts.A wide range of applications are dealt with including evol
图书封面Titlebook: Advances in Soft Computing; Engineering Design a Jose Manuel Benítez,Oscar Cordón,Rajkumar Roy Conference proceedings 2003 Springer-Verlag
影响因子.Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. ..Features:.- New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing. .- Keynote papers by world-renowned researchers in the field. .- A good overview of current soft computing research around the world. ..A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering..
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发表于 2025-3-22 00:00:33 | 显示全部楼层
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.
发表于 2025-3-22 02:11:39 | 显示全部楼层
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.
发表于 2025-3-22 08:08:09 | 显示全部楼层
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.
发表于 2025-3-22 11:34:34 | 显示全部楼层
发表于 2025-3-22 14:21:19 | 显示全部楼层
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.
发表于 2025-3-22 18:50:55 | 显示全部楼层
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.
发表于 2025-3-23 00:36:19 | 显示全部楼层
Andrzej Wardziński,Aleksander Jarzębowicz 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.
发表于 2025-3-23 04:13:40 | 显示全部楼层
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.
发表于 2025-3-23 06:02:19 | 显示全部楼层
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.
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