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Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight and Donald C. Wunsch II
Biomedical datasets distill many mechanisms of human diseases, linking diseases to genes and phenotypes (signs and symptoms of disease), genetic mutations to altered protein structures, and altered proteins to changes in molecular functions and biologica...
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Amedeo D?Angiulli, Christy Laarakker and Derrick Matthew Buchanan
Grossberg?s adaptive resonance theory (ART) provides a framework for understanding possible interactions between mental imagery and visual perception. Our purpose was to integrate, within ART, the phenomenological notion of mental image vividness and thu...
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Naoki Masuyama, Yusuke Nojima, Farhan Dawood and Zongying Liu
This paper proposes a supervised classification algorithm capable of continual learning by utilizing an Adaptive Resonance Theory (ART)-based growing self-organizing clustering algorithm. The ART-based clustering algorithm is theoretically capable of con...
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Birgitta Dresp-Langley
Two universal functional principles of Grossberg?s Adaptive Resonance Theory decipher the brain code of all biological learning and adaptive intelligence. Low-level representations of multisensory stimuli in their immediate environmental context are form...
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Hongjiang Cui, Ying Guan and Wu Deng
Aiming at the problems of poor decomposition quality and the extraction effect of a weak signal with strong noise by empirical mode decomposition (EMD), a novel fault diagnosis method based on cascaded adaptive second-order tristable stochastic resonance...
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Birgitta Dresp-Langley
The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, ...
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Qiuying Chen and Hongwei Mo
Autonomous navigation in unknown environments is still a challenge for robotics. Many efforts have been exerted to develop truly autonomous goal-oriented robot navigation models based on the neural mechanism of spatial cognition and mapping in animals? b...
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Ethel Airton Capuano
O artigo relata um experimento de simulação computacional de um sistema de recuperação da informação composto por uma base de índices textuais de uma amostra de documentos, um software de rede neural artificial implementando conceitos da Teoria da Resson...
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