Comparison of Simulation Algorithms for the Hopfield Neural Network: An Application of Economic Dispatch

Authors

TANKUT YALÇINÖZ
HALİS ALTUN

DOI

-

Abstract

This paper is mainly concerned with an investigation of the suitability of Hopfield neural network structures in solving the power economic dispatch problem. For Hopfield neural network applications to this problem three important questions have been answered: what the size of the power system is; how efficient the computational method; and how to handle constraints. A new mapping process is formulated and a computational method for obtaining the weights and biases is described. A few simulation algorithms used to solve the dynamic equation of the Hopfield neural network are discussed. The results are compared with those of a classical technique, Hopfield neural network approaches and an improved Hopfield neural network approach [1].

First Page

67

Last Page

80

Recommended Citation

YALÇINÖZ, TANKUT and ALTUN, HALİS (2000) "Comparison of Simulation Algorithms for the Hopfield Neural Network: An Application of Economic Dispatch," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 8: No. 1, Article 5. Available at: https://journals.tubitak.gov.tr/elektrik/vol8/iss1/5