Sivanandam Deepa Principle Of Soft Computing Download

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Unit I & II in Principles of Soft computing • 1. -Neural network was inspired by the design and functioning ofhuman brain and components.-Definition:-Information processing model that is inspired by the waybiological nervous system (i.e) the brain, process information.-ANN is composed of large number of highly interconnectedprocessing elements(neurons) working in unison to solveproblems.-It is configured for special application such as pattern recognitionand data classification through a learning process.-85-90% accurate.

1 • AdvAntAges of neurAl networks• A Neural Network can be an “expert” in analyzing the category of information given to it.• Answers “ what-if” questions• Adaptive learning – Ability to learn how to do tasks based on the data given for training or initial experience.• Self organization – Creates its own organization or representation of information it receives during learning time.• Real time operation – Computations can be carried out in parallel.• Fault tolerance via redundant information coding – Partial destruction of neural network cause degradation of performance. – In some cases, it can be retained even after major network damage.• In future, it can also used to give spoken words as instructions for machine.

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F.pdf - International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-6, January 2013 279 “VANET” System for Vehicular Security Download our principles of soft computing s n sivanandam eBooks for free and learn more about principles of soft computing s n sivanandam. These books contain exercises and tutorials to improve your practical skills, at all levels!

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Download presentation. 1965: Zadeh proposed a complete theory of fuzzy sets (and its isomorphic fuzzy logic), to represent and manipulate ill-defined. Soft computing techniques.pdf - TEXT BOOKS 1. Principlesof – Soft Computing by S. Sivanandam and S. Deepa, Wiley India Edition.