One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.In this study, the neural computing approach is applied to the judgment of the camcorder operations which include fix-shot, ... E. Rumelhart, G.E. Hinton, and R.J. Williams, aquot;Learning representations by back-propagating errors, aquot; Nature, Vol . 323 ...  a#39;inca User Manual, Intelligent Machines, Inc., Sunnyvale, California, 1994.
|Title||:||Fuzzy Logic and Intelligent Systems|
|Author||:||Hua Harry Li, Madan M. Gupta|
|Publisher||:||Springer Science & Business Media - 2007-07-07|