Implementation of Resonant Inverter with in-Built Boost Converter
Abstract
Keywords
Full Text:
PDFReferences
Altam, E. I., Macro, G., & Varetto, F. (1994). Corporate distress diagnosis: Comparison using linear discriminant analysis and neural networks. Journal of Banking and Finance, 18, 505–529.
Au, W.-H., & Chan, K. C. C. (2001). Mining fuzzy association rules in a bank-account Database. IEEE Transactions on Fuzzy System, 11, 238–248.
Bandyopadhyay, S., & Maulik, U. (2002). An evolutionary technique based on KMeans algorithm for optimal clustering in Rn. Information Sciences, 146(1–4), 221–237.
Bonneville, M., Meunier, J., Bengio, Y., & Soucy, J. P. (1998). Support vector machines for improving the classification of brain PET images. In Proceedings of the SPIE medical imaging symposium, San Diego, CA (Vol. 3338, pp.264–273).
Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and regression trees. Belmont, CA: Wadsworth.
Carvalho, D. R., & Freitas, A. A. (2004). A hybrid decision tree/genetic algorithm method for data mining. Information Sciences, 163(1–3), 13–35.
Chang, P. C., & Liu, C. H. (2008). A TSK type fuzzy rule based system for stock price prediction. Expert Systems with Applications, 34(1), 135–144.
Chang, P. C., Liu, C. H., & Wang, Y. W. (2005). A hybrid model by clustering and evolving fuzzy rules for sale forecasting in printed circuit board industry. Decision Support Systems, 42(3), 1254–1269.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.