Title :
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
fDate :
27 Jun- 2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374921