## Abstract An application of genetic programming (GP) and artificial neural networks (ANNs) in hydrology is proposed, showing how these two techniques can work together to solve the problem of modelling the effect of rain on the runoff flow in a typical urban basin. The ability of GP to include th
✦ LIBER ✦
The institutional determinants of CO2 emissions: a computational modeling approach using Artificial Neural Networks and Genetic Programming
✍ Scribed by Marcos Álvarez-Díaz; Gonzalo Caballero-Miguez; Mario Soliño
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 156 KB
- Volume
- 22
- Category
- Article
- ISSN
- 1180-4009
- DOI
- 10.1002/env.1025
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## Abstract Both genetic algorithms (GAs) and artificial neural networks (ANNs) have been used in the field of computational electromagnetics as the most powerful optimizing tools. In this paper, a simple and efficient method is presented to handle the problem of competing convention while training