Abstract
The application of intelligent control system to the teaching effect evaluation of functional comprehensive experimental teaching is important. Intelligent control is to study and use some structure mechanism of human brain, knowledge and experience to control the system. With the intelligent control, the problem of control pattern can be regarded as the problem of recognition pattern. The recognition pattern is the change of recognized signal into the action signal. It is generally believed that the control system of neural network has good intelligence and robustness. It can deal with the control problem of complicated industrial production process with high dimension, nonlinearity, strong coupling and uncertainty. Its remarkable characteristic is that it has the learning ability, it can constantly correct the connection between units and store them, so it has good mapping ability for the nonlinear system which is difficult to model. The key modification can be regarded as the modification of the mapping to achieve the desired objective function.
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This work was financially supported by First Hospital of Jilin University.
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Wang, N., Yu, J., Wang, L., Hao, X. (2020). Application of Intelligent Control in Medical Education. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_157
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