Journal of Computational Physics
Determining the saliency of input variables in neural network classifiers
Computers and Operations Research
Hybrid Classifiers for Financial Multicriteria Decision Making: TheCase of Bankruptcy Prediction
Computational Economics
Journal of Global Optimization
An introduction to variable and feature selection
The Journal of Machine Learning Research
Neural and Wavelet Network Models for Financial Distress Classification
Data Mining and Knowledge Discovery
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Soft computing system for bank performance prediction
Applied Soft Computing
Software Reliability Prediction Using Wavelet Neural Networks
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 01
Software development cost estimation using wavelet neural networks
Journal of Systems and Software
Financial distress prediction by a radial basis function network with logit analysis learning
Computers & Mathematics with Applications
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Expert Systems with Applications: An International Journal
Using wavelet network in nonparametric estimation
IEEE Transactions on Neural Networks
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Failure prediction of dotcom companies using neural network-genetic programming hybrids
Information Sciences: an International Journal
On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
International Journal of Bio-Inspired Computation
A Hybrid Higher Order Neural Classifier for handling classification problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Adaptive fuzzy wavelet neural controller design for chaos synchronization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Indirect adaptive self-organizing RBF neural controller design with a dynamical training approach
Expert Systems with Applications: An International Journal
Financial ratings with scarce information: A neural network approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Optimized distance metrics for differential evolution based nearest prototype classifier
Expert Systems with Applications: An International Journal
International Journal of Intelligent Systems in Accounting and Finance Management
Differential Evolution for automatic rule extraction from medical databases
Applied Soft Computing
Expert Systems with Applications: An International Journal
Rule extraction from DEWNN to solve classification and regression problems
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Expert Systems with Applications: An International Journal
International Journal of Information Systems and Social Change
International Journal of Data Mining and Bioinformatics
Computers and Industrial Engineering
Human lower extremity joint moment prediction: A wavelet neural network approach
Expert Systems with Applications: An International Journal
Hi-index | 12.07 |
In this study, differential evolution algorithm (DE) is proposed to train a wavelet neural network (WNN). The resulting network is named as differential evolution trained wavelet neural network (DEWNN). The efficacy of DEWNN is tested on bankruptcy prediction datasets viz. US banks, Turkish banks and Spanish banks. Further, its efficacy is also tested on benchmark datasets such as Iris, Wine and Wisconsin Breast Cancer. Moreover, Garson's algorithm for feature selection in multi layer perceptron is adapted in the case of DEWNN. The performance of DEWNN is compared with that of threshold accepting trained wavelet neural network (TAWNN) [Vinay Kumar, K., Ravi, V., Mahil Carr, & Raj Kiran, N. (2008). Software cost estimation using wavelet neural networks. Journal of Systems and Software] and the original wavelet neural network (WNN) in the case of all data sets without feature selection and also in the case of four data sets where feature selection was performed. The whole experimentation is conducted using 10-fold cross validation method. Results show that soft computing hybrids viz., DEWNN and TAWNN outperformed the original WNN in terms of accuracy and sensitivity across all problems. Furthermore, DEWNN outscored TAWNN in terms of accuracy and sensitivity across all problems except Turkish banks dataset.