NEURAL NETWORKS ALGORITHMS APPLICATIONS AND PROGRAMMING TECHNIQUES PHẦN 8 PPSX

lar context. This new evolution offers reasoning radio withconscious capabilities based on the SR paradigm [9].In this scenario, the present paper describes the receiv-ing part of an SDR-based UT, in particular, its physical layeris highlighted. As explained before, in the design of an SRterminal, ma[r]

is represented naturally.Fault Tolerance. If a neural network is implemented in hardware form, itsperformance degrades gradually under adverse operating conditions, such asdamaged connection links, since the knowledge is distributed in the structure of theNN [4].VLSI Implementability. Because[r]

nomic Commission for Europe (UN/ECE), Geneva, Switzerland, 2000.10. Kim, J.-O. and Koshla, P., Design of space shuttle tile servicing robot: an application of task-based kinematic design, 10, 648, 1994.11. Masory, O., Wang, J., and Zhuang, H., On the accuracy of a Stewart platform. Par[r]

EURASIP Journal on Applied Signal Processing 2003:12, 1229–1237c 2003 Hindawi Publishing CorporationNonlinear System Identification Using Neural NetworksTrained with Natural Gradient DescentMohamed IbnkahlaElectrical and Computer Engineering Department, Queen’s University, Kingston, On[r]

[19] Tarun Khanna, Foundations of Neural Networks,ISBN 0-201-50036-1[20] Matlab_The language of Technical Computing.[21] Marilyn McCord Nelson_W.T.Illingworth, A practical Guide to Neural.[22] A.A.R. Townsend, Digital Line-of-sight Radio links.[23] NXB Thống kê, Mạng Neural