A proposed application of artificial neural networks using genetic algorithms to measuring corporate social performance

Author

Gargano, Michael L. ; Rajpal, Neetu

Author_Institution

Dept. of Comput. Sci., Pace Univ., New York, NY, USA

Volume

6

fYear

1994

fDate

27 Jun- 2 Jul 1994

Firstpage

3634

Abstract

The corporate social audit is a systematic assessment of a corporation´s social performance. Business enterprises can then be held more responsible for their social actions in a reasonably accurate manner. It has thus far proven difficult to do rigorous social audits. However, it may now become more feasible to conduct rigorous social audits by using a type of artificial neural network trained by a team of experts. A novel application of genetic algorithms to speed the learning process is also presented

Keywords

corporate modelling; genetic algorithms; learning (artificial intelligence); social sciences; artificial neural networks; business enterprises; corporate social audit; corporate social performance; genetic algorithms; learning process; Application software; Artificial neural networks; Computer science; Economic forecasting; Educational products; Employment; Equal opportunities; Genetic algorithms; Government; Pollution measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374921

Filename

374921