Research on the Adaptive Machine Learning Algorithm Based on Cognition imulation
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    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.

    Reference
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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).
    [3] Rumelhart, D. E. , McCielland, J.L. Parallel Distributed Processing (Vol. 1). Cambridge, MA: MIT Press. 1986.
    [4] Quinlan, J.R. Induction of decision trees. Machine Learning, 1986,40(1):81~106.
    [5] Fahlman, S. E. , Hinton, G.E. Connectionist architectures for artificial intelligent. IEEE Computer, 1987,33(1):98~105.
    [6] Diederich, J. KRITON: a knowledge acquisition for expert systems. International Journal of Man-Machine Studies, 1987,35(5) :26~32.
    [7] Ribaric, S. Knowledge representation scheme based on Petri net theory. International Journal of Pattern Recognition and Intelligence, 1988,2 (4): 691~700.
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    [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.
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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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History
  • Received:September 10,1999
  • Revised:March 28,2000
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