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Titlebook: Bio-inspired Computing: Theories and Applications; 13th International C Jianyong Qiao,Xinchao Zhao,Shanguo Huang Conference proceedings 201

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楼主: Ingrown-Toenail
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“The Beautifull Cassandra” Illustrated solve the problem, the inversion result will be unreliable or inaccurate. In this paper, the immune clonal selection algorithm is applied to the AVO elastic parameter inversion problem. The algorithm adopts the specific initialization strategy from Aki’s and Rechard’s approximation equation used in
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https://doi.org/10.1057/9781137292414itions or changing camera angles, the classification recognition effect is inaccurate. This article proposes a pests image classification method based on improved Wolf Pack Algorithm (WPA) to optimize Bayesian Network (BN) structure learning. Firstly, We select a pre-trained Convolutional Neural Net
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https://doi.org/10.1057/9781137292414riable grouping. DG2 proposed by Omidvar et al. is accurate for variable grouping. DG2, which is a parameter-free differential grouping method, can distinguish overlapping components of decision variables of a function. In this paper, we test DG2 on high-dimensional functions with more than 1000 dim
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https://doi.org/10.1007/978-1-349-18285-5ems were successfully accomplished on DNA strand, only few results of practical use so far. A direction of molecular computing namely Gene assembly in ciliates has been studied actively [.] for a decade. In the present paper, we use a variant of gene assembly computing model of Guided recombination
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Structure in Jane Austen’s Novelsanagement. In this paper, an optimization model based on MOEA is proposed to adjust industrial structure to meet the increasing demand. Increasing economy and employment along with reducing carbon emission are the objectives of model, which is solved by one of MOEA, NSGA-II. Jiangsu-Zhejiang-Shangha
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https://doi.org/10.1007/978-1-349-26318-9the logic calculation model for it can cut one strand of a double-stranded DNA at a specific recognition nucleotide sequences known as a restriction site. Based on this, a variety of logic gates are designed and implemented, and a multi-person voting circuit is constructed.
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https://doi.org/10.1007/978-1-349-26318-9tion methods, but most of are not very efficient in this problem. Deep learning had been broadly used in image classification and has significant performance in classifying images. This paper proposes a comprehensive spatio-temporal feature classification method based on deep learning. It combines C
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