Research on the Adaptive Machine Learning Algorithm Based on Cognition imulation
基于认知模拟的自适应机器学习算法研究

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.