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Titlebook: Bioinspired Applications in Artificial and Natural Computation; Third International José Mira,José Manuel Ferrández,F. Javier Toledo Confe

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Breast Cancer Classification Applying Artificial Metaplasticity,ch more efficient training, while at least maintaining the Multilayer Perceptron performance. Wisconsin Breast Cancer Database (WBCD) was used to train and test MMLPs. WBCD is a well-used database in machine learning, neural networks and signal processing. Experimental results show that MMLPs reach better accuracy than any other recent results.
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Ragupathy Venkatachalam,Ying-Fang Kaomodel, with the possibility of an automatic subdivision of the Topological Active Volume. This combination integrates the advantages of the global and local search procedures in the segmentation process.
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Peter Flaschel,Gangolf Groh,Christian Proanoct the most suitable features to distinguish between them. Several parameters to characterize objects geometrically, such as fires, cars or people, have been considered and it has been shown their utility to reduce the probability of false alarms of the pixel by pixel signal processing techniques.
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Peter Flaschel,Gangolf Groh,Christian Proano. Current programs don’t carry out the segmentation process or just do it by hard thresholding or by means of exhaustive human interaction. This paper deals with the validation of fuzzy connectedness theory for the automated, accurate and time efficient segmentation of jaw tissues.
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Genetic Approaches for the Automatic Division of Topological Active Volumes,model, with the possibility of an automatic subdivision of the Topological Active Volume. This combination integrates the advantages of the global and local search procedures in the segmentation process.
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