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MATLAB在神经网络算法研究中的应用 被引量:2

Application of MATLAB in Neural Network Algorithm
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摘要 MATLAB语言作为一种解释性语言,基本数据元素是矩阵,在数值分析、自动控制模拟、数字信号处理等应用中非常广泛。而且绘图能力的强大使其成为应用广泛、备受人们喜爱的一种软件环境。文章主要应用MATLAB函数建立在线估计故障函数,并用滑模控制算法进行容错控制律的在线重构,实现容错控制。最后以MATLAB提供的示波器获得故障诊断及容错控制的结果图,结果表明了将MATLAB应用在神经网络算法研究中是非常有效的。 MATLAB language is a kind of explanatory language, basic data elements are matrix, is widely applied in numerical analysis, automatic control in analog, digital signal processing .It has a strong ability to draw, a widely used software environment.The paper mainly applies MATLAB function to establish online estimate fault function, and uses the sliding mode control algorithm for fault tolerant control law on-line reconstruction, fault tolerant control is realized. At last, the results of the fault diagnosis and fault tolerant control provided by MATLAB are obtained.The results show that the application of MATLAB is very effective in the research of neural network algorithm.
出处 《无线互联科技》 2015年第19期139-141,共3页 Wireless Internet Technology
关键词 神经网络算法 容错控制 故障诊断 MATLAB neural network algorithm fault tolerant control fault diagnosis MATLAB
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  • 1Hinton G E, Rumelhart, Mcclelland J L. Distributed Representation, Parallel Distributed Processing [ M ].Cambridge : MIP Press, 1986.
  • 2Kosko B. A dynamical systems approach to machine intelligence [A]. Neural Networks and Fuzzy Systems[C]. NJ: Prentice-Hall, 1992. 135-141.
  • 3Albus J S. A new approach to manipulator control:The cerebellar model articulation controller (CMAC)[J]. ASME J Dynamic Systems, Measurement, Control, 1975,97 (1) : 220-227.
  • 4Albus J S. Data storage in cerebellar model articulation controller (CMAC) [J]. ASME J Dynamic Systems,Measurement, Control, 1975,97(1): 228-233.
  • 5Wong Y F, Sideris A. Learning convergence in cerebellar model articulation controller [J]. IEEE Trans on Neural Networks, 1992,3(1) : 115-121.
  • 6Lin C S, Chiang C T. Learning convergence of CMAC technique [J ]. IEEE Trans on Neural Networks, 1997,8(6):1281-1292.
  • 7Iiguni Y. Hierarchical image coding via cerebellar model arithmetic computers [J]. IEEE Trans on Image Processing, 1996,5 (6) : 1393-1401.
  • 8Hong C M, Lin C H, Tao T. Grey-CMAC model[A].Proc ISTED Int Conf High Technology Power Industry[C]. San Francisco, 1997. 39-44.
  • 9Nie J, Linkens D A. FCMAC: A fuzzified cerebellar model articulation controller with self-organizing capacity[J]. Automatica, 1994,30(4): 655-664.
  • 10Geng Z J, Mccullough C L. Missile control using fuzzy cerebellar model arithmetic computer neural networks [J].J Guid, Control, Dynamic,1997,20(3):557-565.

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