Applied Intelligent Systems: New Directions by David Edelman, Pam Davy (auth.), Professor John Fulcher,

By David Edelman, Pam Davy (auth.), Professor John Fulcher, Professor Lakhmi C. Jain (eds.)

This conscientiously edited booklet offers examples of the winning software of clever platforms ideas to useful difficulties. The invited contributions, written via foreign specialists of their respective fields, essentially show what should be completed whilst AI structures are used to unravel real-world difficulties. The ebook covers the sector of utilized clever platforms with a wide and deep choice of themes, equivalent to item popularity, robotics, satellite tv for pc climate prediction, or economics with an business concentration. This publication might be of curiosity to researchers attracted to utilized clever systems/AI, in addition to to engineers and programmers in undefined.

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9. Typical ANSER Rainfall Estimation Result Now since rainfall estimation is a complex, nonlinear, discontinuous process, only neural network groups and HONN models are able to perform this task well; simple ANN models are inaccurate at points of discontinuity. This results in large errors with the latter technique, even though it performs better than the classical technique. In Sect. 3 we showed that neural network piecewise function groups are able to approximate any kind of piecewise continuous function, and to any degree of accuracy.

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Barron R, Gilstrap L and Shrier S (1987) Polynomial and Neural Networks: Analogies and Engineering Applications, Proc Intl Conf Neural Networks, New York, II: 431-439. 2:2. Blum E and Li K (1991) Approximation theory and feed-forward networks, Neural Networks, 4: 511-515. Chakraborty K, Mehrotra K, Mohan C and Ranka S (1992) Forecasting the behavior of multivariate time series using neural networks, Neural Networks, 5: 961-970. 48 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24.

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