Introduction to scientific programming: Computational problem solving using maple and C: By Joseph Zachary. Springer-Verlag, New York. (1996). 380 pages. DM 78.00; öS 569.40; sFr 69.00 (diskette included)
- Book ID
- 104353151
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 112 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0898-1221
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✦ Synopsis
List of contributors. 1. Modelling and controller design of an EGR solenoid valve using neural networks (M.A. Arain). 2. Neural networks as decoders in error-correcting systems for digital data transmission (J. Serra-Sagrist~). 3. Estimating helicopter strain using a neural network approach (A.D. Vella et al.). 4. Neural networks for texture classification (J.F. Boyce and J.F. Haddon). 5. Modelling psychiatric decisions with linear regression and neural networks (W. Penny and D.P. Frost). 6. Visualizing nuclear magnetic resonance spectra with self-organizing neural networks (A. Koski et al.). 7. Comparative study of two self organizing and structurally adaptive dynamic neural tree networks. (K. Butchart et al.). 8. A clustering algorithm to produce context rich networks (N. Allot et al.). 9. Robust financial modelling by combining neural network estimators of mean and median (A.N. Burgess). 10. ISTRIA: An on-line neural network system for the analysis of financial markets (S. DiPasquale et al.). 11. Prediction of the S&P 500 index with neural networks (J. Angstenberger). 12. Neural network based models for forecasting iX. Ding et al.). 13. GA to train NNs using sharing and pruning: Global GA search combined with local BP search (M. Schmidt and T. Stidsen). 14. Evolutionary neurocontrol of chaos and the attitude control problem (D.C. Dracopoulos). 15. An object-oriented framework for NE-SS hybrid systems (A.I. Vermesan and O. Vermesan). 16. Using correlation matrix memories for inferencing in expert systems (J. Austin and R. Filer). 17. Neural networks in VLSI hardware ( T. Clarkson). 18. Optimal VLSI implementation of neural networks ( V. Beiu). 19. New avenues in neural networks. Index.
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