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Titlebook: Bio-Inspired Computational Intelligence and Applications; International Confer Kang Li,Minrui Fei,Shiwei Ma Conference proceedings 2007 Spr

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A Novel ANN Model Based on Quantum Computational MAS Theoryruct a new artificial neural network, which based on MAS theory and quantum computing algorithm. All nodes in this new ANN are presented as quantum computational (QC) agents, and these QC agents have learning ability via implementing reinforcement learning algorithm. This new ANN has powerful parall
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Robust Speech Endpoint Detection Based on Improved Adaptive Band-Partitioning Spectral Entropyt speech recognition. In this paper, an improved adaptive band-partitioning spectral entropy algorithm was proposed for speech endpoint detection, which utilized the weighted power spectral subtraction to boost up the signal-to-noise ratio (SNR) as well as keep the robustness. The idea of adaptive b
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A Novel Neural Network Based Reinforcement Learningimensions. This paper presents a novel ART2 neural network based reinforcement learning method (ART2-RL) to solve the space problem. Because of its adaptive resonance characteristic, ART2 neural network is used to process the space measurement of reinforcement learning and improve the learning speed
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Parameter Identification of Bilinear System Based on Genetic Algorithmbtained when the system output was influenced by Gaussian noise in the simulation. By comparing with RLS and COR through a simulation experiment to a SISO bilinear system, it is found that the method can get better result than the other two methods. Through a simulation experiment to a MIMO bilinear
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