Global Approximations to Cost and Production Functions using Artificial Neural Networks
Abstract The estimation of cost and production functions in economics usually relies on standard specifications which are less that satisfactory in numerous situations. However, instead of fitting the data with a pre-specified model, Artificial Neural Networks (ANNs) let the data itself serve as evi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2009-06-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.2991/ijcis.2009.2.2.4 |