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

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Prototypes Stability Analysis in the Design of Radial Basis Function Neural Networksing architectures. In this work, we study the use of prototypes stability analysis in the design of radial basis function (RBF) neural networks, especially their layer composed of RBF’s. The usefulness of the proposed method is discussed and illustrated with the aid of numeric studies including two well-known data sets available on the web.

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Process-Oriented Plant Layout Design using a Fuzzy Set Decomposition Algorithmte position of the machine. As a thumb rule it considers that a machine from which maximum mass exchange occurs with other machines should be placed in the most easily accessible position, which is easily approachable from all associated machines. The algorithm also considers indirect mass transfer between machines.

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A Fuzzy Colour Image Segmentation Applied to Robot Visionhis distance is used both to select the pixels which will be linked in each step of the algorithm, and to calculate membership degree of each point to each region. The proposed technique is applied to vision-guided robot navigation with the aim of detecting doors in indoor environments.

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Lecture Notes in Computer Sciencerch 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.

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Lecture Notes in Computer Sciencecenters. 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.

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Lecture Notes in Computer Scienceset should be stable, meaning that they should not differ significantly. If they are stable, prototypes could be used in the design of different learning architectures. In this work, we study the use of prototypes stability analysis in the design of radial basis function (RBF) neural networks, espec

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Computer Safety, Reliability, and Securityigent greenhouse control. The knowledge-based system is in charge of carrying out the determination of PH land value, composition, carbonic anhydride artificial atmosphere, external and internal temperature, wind and humidity measurements. From the results obtained, and by means of a neural network

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Lecture Notes in Computer Sciencerocedures, which usually fall in a local optimum; that is why results obtained depend to a great extent on the learning parameters and the initial weights as well as on the network topology..Evolutionary algorithms have proved to be very effective and robust search methods to locate zones of the sea