Treatment of multi-dimensional data to enhance neural network estimators in regression problems-Reference-Cited by-同舟云学术

Treatment of multi-dimensional data to enhance neural network estimators in regression problems

Published:2007-02 Issue:2 Volume:32 Page:599-605
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Altun H.,Bilgil A.,Fidan B.C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference24 articles.

1. Altun, H., & Curtis, K. M. (1999a). Acoustic-to-articulatory neural mapping under different statistical characteristics of articulatory pattern vectors. In International conference on phonetic science, ICPhS’99 (pp. 2017–2020).

2. Altun, H., & Curtis, K. M. (1999b). The accurate estimation of articulatory synthesiser parameters through reducing the degree of saturation in a neural network hidden layer. In International conference on phonetic science, ICPhS’99 (pp. 2263–2267).

3. Neural learning for articulatory speech synthesis under different statistical characteristics of acoustic input patterns;Altun;Computers & Electrical Engineering,2003

4. Analysis of initiation of sediment suspension from bed load;Cheng;Journal of Hydraulic Engineering, ASCE,1999

5. Suspended sediment estimation and forecasting using artificial neural networks;Cigizoglu;Turkish Journal of Engineering and Environmental Science,2002

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