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Titlebook: Bio-Inspired Computing and Applications; 7th International Co De-Shuang Huang,Yong Gan,Kyungsook Han Conference proceedings 2012 Springer-V

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Denselben Gegenstand betreffendhm with a global meta-model. The number of objective function evaluations is considered, and also the conditions under which the algorithm actually helps to reduce the time needed to find a solution are analyzed.
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Simulation of Visual Attention Using Hierarchical Spiking Neural Networksl attention to extract objects based on specific image features. Using extraction of horizontal and vertical lines, a demonstration shows how the network can detect a house in a visual image. Using this visual attention principle, many other objects can be extracted by analogy.
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Modeling and Analysis of Network Security Situation Prediction Based on Covariance Likelihood Neurales as input sequences, and in the back-propagation to achieve the parameters adjustment. Results show that the model can take advantage of the relationship characteristics between the complexity and efficiency in complex neural networks, and the method has good performance of situation prediction.
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Conference proceedings 2012ange of techniques such as artificial intelligence, pattern recognition, evolutionary computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, human computer interface issues, etc.
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A Partially Connected Neural Evolutionary Network for Stock Price Index Forecastingby sigmoid function but sin(x). The experimental results show that Parcone can make the progress concerning the stock price index and it’s very promising to calculate the predictive percentage by simulation results of proposed evolutionary system.
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