Titlebook: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence; 5th International Co De-Shuang Huang,K

行業(yè)

Zusammenfassung, Ergebnis und Ausblick,odel. The time evolution of the reverse bifurcation and the Lyapunov exponents is applied to study the neuron of chaotic neural network model with white noise. Based on the chaotic neuron model, we construct the chaotic neural network model with white noise, and study its energy function The simulat

殺死

MAUVE

Verfahrens- und Ergebnisbewertung nach DIN, location. In this paper, we first derive a joint position estimation model for source location and receiver positions with erroneous receiver positions, and then, based on this model, an efficient algorithm for estimation the location of source and the positions of receivers using Time Difference o

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https://doi.org/10.1007/978-3-322-82464-6ricts these algorithms’ performances to some degree. In order to effectively improve these algorithms’ performances and alleviate user fatigue, we propose an interactive genetic algorithm with variational population size in this paper. In the algorithm, the whole evolutionary process is divided into

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Anwendung in der Nachwuchsf?rderungobject or pattern recognition are addressed when the images of interest display significant geometric distortion due to some physical or geometrical conditions. The proposed method performs a direct multi-objective search in image response space for an optimal piece-wise affine transformation of the

mechanical

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虛度

水槽

Introduction: The Strange Disjunction,logic that extends classical description logics to many-valued logics. We represent, and reason with, uncertain knowledge in the description logic . extended to an interval-based, norm-parameterized fuzzy logic. First, the syntax and the semantics of the proposed fuzzy description logic are addresse

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