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From a Computer Teaching System Perspective: Teaching Strategies and Educational Economics in the Neuroscience of Genetic Algorithms and Annealing Algorithms and Biology

Xiaojian Guo, Yi Qin, Weichen Si, Liangyu Li

Abstract


The three main research methods of machine learning are difficult to enter, difficult to penetrate, difficult to apply and difficult to fall. Computeric pedagogy needs to clear the hurdles for academics in various disciplines, and bio-engineered computer teaching systems need to make breakthroughs based on advances in biology. We used computer teaching techniques to design teaching points in neuroscience. The authors report and analyze the results of this study.


Keywords


Computer Education; Genetic Algorithms; Annealing Algorithms; Neural Network Algorithms

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References


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DOI: http://dx.doi.org/10.18686/ahe.v6i23.4850

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