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Titlebook: Bio-inspired Computing: Theories and Applications; 12th International C Cheng He,Hongwei Mo,Yuxin Zhao Conference proceedings 2017 Springer

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楼主: stripper
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Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm, exhaustive search is computationally expensive when searching for thresholds. In order to solve such challenging problems, the fitness function is designed by the maximum entropy method, the optimal threshold of segmentation is found by using the parallel optimization mechanism of Flower Pollinatio
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Semi-Supervised Classification Based on SAGA for PolSAR Images,sons, so it is widely applied in military and civilian life. PolSAR images contain abundant information. Its processing and interpretation have played more and more important role in national defense construction and economic development. However, the classification accuracy for PolSAR images using
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Spiking Neural P Systems with Minimal Parallelism,haustive use of rules. To this aim, we consider the minimal parallelism of using rules: if one rule associated with a neuron can be used, then the rule must be used at least once (but we do not care how many times). In this framework, we study the computational power of our systems as number generat
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,A Hybrid Parameter Adaptation Based GA and Its Application for Data Clustering,ion scheme, which integrates the traditional adaptive and self-adaptive method, to dynamically control the crossover and mutation rate of GA during evolution. Such a scheme can take advantage of both adaptive and self-adaptive mechanisms, thus effectively setting the parameters of GA. The resulting
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