Download Advances in Soft Computing: Engineering Design and by Chin-Pao Hung, Mang-Hui Wang (auth.), Jose Manuel Benítez, PDF

By Chin-Pao Hung, Mang-Hui Wang (auth.), Jose Manuel Benítez, Oscar Cordón, Frank Hoffmann, Rajkumar Roy (eds.)

Soft computing embraces methodologies for the advance of clever platforms which were effectively utilized to a great number of real-word difficulties. This selection of keynote papers, awarded on the seventh online international convention on delicate Computing in Engineering layout and production, presents a accomplished review of modern advances in fuzzy, neural and evolutionary computing strategies and purposes in engineering layout and production.

Features:
- New and hugely complex examine effects on the leading edge of soppy computing in engineering layout and production.
- Keynote papers through world-renowned researchers within the box.
- an outstanding evaluate of present gentle computing study worldwide.

A choice of methodologies aimed toward researchers layout and production engineers who enhance and observe clever structures in laptop engineering.

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7, No. 2/3, pp. 195-226, 1991. 3. Moody 1. , Architecture selection strategies for neural networks: Application to corporate bond rating prediction, Neural Networks in the Capital Markets, 1. Wiley and Sons, 1994. 4. Cholewo 1. T. and Zurada M. , Neural network tools for stellar light prediction, IEEE Aerospace Conference, Vol. 3, pp. 514-422, USA, 1997. 5. R. , Neural network-based simulationoptimization model for reservoir operation, Journal of Water Resources Planning and Management, Vol. 2, pp.

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For developing the models, we used one year's data comprising of daily maximum and minimum temperature and wind-speed. We used a Multi-Layered Perceptron (MLP) and an Elman Recurrent Neural Network (ERNN) trained using the one-step-secant and Levenberg-Marquardt algorithms. To ensure the effectiveness of neurocomputing techniques, we also tested the different connectionist models using a different training and test data set. Our goal is to develop an accurate and reliable predictive model for weather analysis.

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