The Application of Neural Network in Computer Control

Abstract:

In recent years, it is a very active direction of research to use neural network to control computer. Neural network is a burgeoning crossing subject, and the way it processes information is different from the past symbolic logic system, which has some unique properties: such as the distributed storage and parallel processing of information, the unity of the information storage and information processing, and have the ability of self-organizing and self-learning. And it has been applied widespread in pattern recognition, signal processing, knowledge process, expert system, optimization, intelligent control and so on. Using neural network can deal with some problems such as complicated environment information, fuzzy background knowledge and undefined inference rules, and it allows samples to have relatively large defects and distortion, so it is a very good choice to adopt the recognizing method of neural network. This thesis discusses the application of neural network in computer control.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 421-424
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.421
• Online since: August 2013
• Authors: Jing Liu, Yu Chi Zhao, Xiao Hua Shi, Su Juan Liu
• Keywords: Application, Computer Control, Neural Network (NN)

References

[1] Fan Caixia, Liang Wenquan. Neuron Network Optimizes Synchronously HPMC Sustained-Release Tablets with Multiply Tar［J］. Chinese Journal of Pharmaceuticals, 2004, 39（10）: 768－771.

[2] Zhang Yufei, Shao Xiuli, Lei Jianjun. The Modeling and optimization of the process of the TCM preparation Based on Neuron Network and genetic algorithm［J］. Computer Engineering and Applications, 2005, 2(2): 194-195.

[3] Li Lingbing, Zhang Na. Design Clozapine Non-PH-Relied Sustained Release Tablets Using Artificial Neuron Network Combined with Pharmacokinetics Model［J］. Chinese Journal of Pharmaceuticals, 2005, 40 (17).

[4] Wei Xiaohong, Wu Jianjun, Liang Wenquan. The Application of Neuron Network in the Formulation Design of the Preparation with Good Release Characters［J］. Acta Pharm Sin, 2001, 36（9）：690-694.