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Titlebook: Engineering Applications of Neural Networks; 11th International C Dominic Palmer-Brown,Chrisina Draganova,Haris Mour Conference proceedings

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Abdelhamid Ahmed,Hassan Abouabdelkaderion. A model design includes data pre-processing, labelling of individual parameters’ vectors using expert knowledge, and the design of various support vector machines with supervised learning and kernel-based approaches with semi-supervised learning.
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Adj Marshall,Betsy Leondar-Wrightestimating the risk due to extreme disaster phenomena and especially due to natural hazards. Based on the considered risk parameters, an equal number of fuzzy sets are defined. For all of the defined fuzzy sets trapezoidal membership functions are used for the production of the partial risk indices.
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Video Games in Teaching Economics,However, in embedded computer-system applications, authentication is difficult to implement because resources are scarce. Using fuzzy logic and artificial neural networks to process biometric data can yield improvements in authentication performance by limiting memory and processing-power requiremen
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Can Virtual Humans Teach Empathy? In the present work we propose a different approach – the application of neural network techniques to fit the peaks in alpha spectra. Instead of using a mathematical function to fit the peak, the fitting is done by a neural network trained with experimental data corresponding to peaks of different
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Luciana C. de Oliveira,Melanie Shoffnerzing maps. In addition, we propose a computational method to detect the importance of input variables and to find the optimal input variables. In our information enhancement learning, there are three types of information, namely, self-enhancement, collective enhancement and local enhancement. With s
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Teaching English as a Foreign Languageds“, which caused 1.2 billion Euros of economical damages and 22 fatalities in 2002, the difficulties incurred in the forecasting of such events are analyzed, with emphasis on the nature of the database and the origins of measurement noise. The high level of noise in water level measurements raises
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