Title :
A comparative study of neural network and regression analysis as modeling tools
Author :
Sengupta, Sankar
Author_Institution :
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
Abstract :
The paper uses a real world example to highlight the differences between neural network and regression analysis as competing modeling tools. The paper also discusses a set of issues that need to be resolved to enhance the capabilities of neural networks as a modeling tool
Keywords :
modelling; neural nets; statistical analysis; comparative study; modeling tools; neural network; real world example; regression analysis; Accuracy; Artificial neural networks; Biological neural networks; Differential equations; Mathematical model; Neural networks; Psychology; Regression analysis; Sensitivity analysis; Systems engineering and theory;
Conference_Titel :
System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
Conference_Location :
Starkville, MS
Print_ISBN :
0-8186-6985-3
DOI :
10.1109/SSST.1995.390584
