A Combination of Models for Financial Crisis Prediction: Integrating Probabilistic Neural Network with Back-Propagation based on Adaptive Boosting
It is very important to enhance the accuracy of financial crisis prediction (FCP). Because the traditional probabilistic neural network (PNN) has some deficiencies, such as the difficult estimation of parameters and the high computational complexity, this paper proposes a new combination model, whic...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2017-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25866529/view |