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Correlative Learning
av Zhe Chen , Simon Haykin , Jos J. Eggermont m.fl.
Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in …
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors …
Principal Component Neural Networks Theory and Applications Understanding the underlying principles of biological perceptual systems is of vital importance not only to …
State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman …
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, …
The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural network structures Considered one of the most …
Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networksthe definitive text for students and practicing engineers Researchers …