Open Journal Systems

Realization of Linear Neural Network Based on MATLAB Neural Network Toolbox

Lei Wang

Abstract

First of all, this article briefly introduces the structure and algorithm of linear neural network and the characteristics of MATLAB language by reading and combing related literature. Then, the method and basic steps of using MATLAB neural network toolbox to realize linear neural network are given. Based on the neural network toolbox function provided by MATLAB language for network design, users can call related programs according to their own needs, thus eliminating the need to write specific complex and lengthy algorithm details. Finally, a concrete example is given to prove that the method is feasible.


Keywords

Neural Network; MATLAB; Linear Neural Network

Full Text:

PDF

References

Ma R. Principle of artificial neural network (in Chinese). Beijing: Mechanical Industry Press; 2010. p. 25-49.

Cong S. Neural network theory and application for toolbox (in Chinese). 3rd ed. Beijing: University of Science and Technology of China Press; 2009. p. 56-61.

Simpson PK. Artificial neural systems: foundations, paradigms, applications, and implementations. Pergamon and Implementations, Pergamon, Press; 1990. p. 62-73.

Phase One Technology Product R&D Center. MatLab6.5 assisted neural network analysis and design. Beijing: Electronic Industry Press; 2003.

Wang K, Yu Q. Non-linear characteristics and prediction model of coal and gas outburst (in Chinese). Xuzhou: China University of Mining and Technology Press; 2005.


DOI: http://dx.doi.org/10.18063/csnt.v3i1.1189
(12 Abstract Views, 2 PDF Downloads)

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Lei Wang

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.