基于认知模拟的自适应机器学习算法研究
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认知科学;机器学习;神经网络;心电图分析


Research on the Adaptive Machine Learning Algorithm Based on Cognition imulation
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    摘要:

    根据认知科学的理论,同时以神经科学、脑科学等学科的最新研究成果为指导,利用计算机科学、数学及工程科学的方法,提出了一种自适应机器学习方法.该方法从微观神经元层次、中间层次和宏观层次,根据人脑的学习机理模拟人脑的学习过程.根据该方法开发的心电图分类知识自动获取系统,可以较好地模拟心电图专家的感知、认知和思维等功能.

    Abstract:

    In this paper, according to the theory of cognitive science and the research results of neurology and brain science, a kind of adaptive machine learning algorithm is presented by using the methods of computer science , mathematics and engineering science. This algorithm simulates the learning process of man brain from the micro neuron level, middle level and macro level. The developed automatic electro cardiogram classification knowledge acquisition system can well simulate the sensation, cognition and thinking of electro-cardiogram experts.

    参考文献
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    [2] Wang, Ji-cheng, Cai, Yi-fa, Lu, Wei-xue. A new method on automatically building neural network structure. Acta Automatica Sinica, 1996,22(1):19~25 (in Chinese).
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    [7] Ribaric, S. Knowledge representation scheme based on Petri net theory. International Journal of Pattern Recognition and Intelligence, 1988,2 (4): 691~700.
    [8] Birman, K.P. Rule-Based learning for more accurate ECG analysis. IEEE Pattern Analysis Intelligence, 1982,30(4):369~375.
    [9] Xue, Q. Z. , Hu, Y. H. , Tompkins, W.J. Neural-Network-Based adaptive matched filtering for QRS detection. IEEE Transactions on Biomedical Engineering, 1992,39(6): 317~329.
    [10] Lin, K. P. , Chang, W.H. Classification of QRS pattern by an associative memory model. In: Aderson, J. A. , ed. Proceedings of the Annual International Conference on IEEE Engineering Medical Biological Society. New York: Academic Press, 1989. 2017~2018.
    [11] 王继成,蔡义发,吕维雪.一种自动生成神经网络结构的新方法.自动化学报,1996,22(1):19~25.
引用本文

王继成.基于认知模拟的自适应机器学习算法研究.软件学报,2001,12(8):1205-1211

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  • 收稿日期:1999-09-10
  • 最后修改日期:2000-03-28
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