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題名:生物神經及類神經網路控制之研究
書刊名:東南學報
作者:曾國隆朱明輝池德明 引用關係
出版日期:2009
卷期:34
頁次:頁97-115
主題關鍵詞:生物神經學類神經網路數值模型倒傳遞類神經網路Biological neurologyBNArtificial neural networkNumerical modelsBack propagation neural networkBPN
原始連結:連回原系統網址new window
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  • 點閱點閱:26
摘 要 本文簡介生物神經學的內容涉及神經、解剖、生理、藥理、病理、生物化學、細 胞生物學、分子生物學等。因其任務是研究神經系統內分子、細胞基礎和系統基礎變 化過程,及這些過程的整合作用,直到最複雜的高等功能,如學習、記憶等。因為類 生物神經學發展,使得神經網路研究可以建立數學模式,及類神經網路研究其最終目 的在於瞭解人類神經系統的結構和功能。可提高對神經系統疾病的防治水準、增進健 康服務。本文並介紹類神經網路數值模型及其應用範圍。
ABSTRACT This study introduces the biological neurology(BN)and artificial neural network control. The content of involves the nerve, the dissection, the physiology, the pharmacology, the pathology, the biochemistry, the cytology, and the molecular biology and so on. Because its duty is learning nervous system mol, the cell foundation and the system foundation change process, and these process conformity function, until the most complex higher function, like learning, memory and so on. Because of the artificial biological neurology development, makes the neural network research to be possible to establish the mathematical model and the neural network research can lie in understood that the humanity nervous system’s structure and the function. The research also can to neural system disease’s prevention standard and improve the service human health. This paper and the introduction neural network can be applied to the scope of the numerical model and control.
期刊論文
1.Lippmann, R. P.(1987)。An introduction to computing with neural nets。IEEE Acoustics, Speech, and Signal Processing Magazine,4(2),4-22。  new window
2.Villiers, J.、Barnard, E.、IEEE(1993)。Backpropagation Neural Nets with One and Two Hidden layers。Neural Networks,,4(1),136-141。  new window
圖書
1.丁斐(2007)。神經生物學。北京:科學出版社。  延伸查詢new window
2.王建軍(2004)。神經科學--探索腦。北京:高等教育出版社。  延伸查詢new window
3.王旭、王宏、王文輝(2000)。人工神經元網路原理與應用。瀋陽。  延伸查詢new window
 
 
 
 
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