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 | | An Introduction to Neural NetworksCovers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.
This book grew out of a set of course notes for a neural networks module given as part of a... | | |
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A First Course in Stochastic ModelsThe teaching of appliedprobability needs a fresh approach. The fieldof applied probability has changedprofound ly in the past twenty years andyet the textbooks in use today do not fully reflect the changes. The development of computational methods has greatly contributed to a better understanding of the theory. It is my conviction that theory is... | | Space-Time Codes and MIMO SystemsThis book is intended to introduce space-time coding and multiantenna systems. The endeavor is to impart a working knowledge of the subject not just for students and researchers but for the entire wireless community.
The birth of multiantenna systems is the direct result of the long-standing struggle to achieve data rates without... | | Learn Pascal in Three Days (With CD-ROM)Learn Pascal in Three Days (3e.) is an update of one of the best-selling introductions to Pascal on the market for beginning programmers. The title is recognized as one of the best introductions to Pascal suitable for students or anyone wanting a solid foundation in structured programming. Pascal is considered an ideal programming language to begin... |
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