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Astronomy Demystified (Demystified)
This book is for people who want to learn basic astronomy without taking a formal course. It also can serve as a supplemental text in a classroom, tutored, or home-schooling environment. I recommend that you start at the beginning of this book and go straight through.
In this book, we’ll go on a few “mind... | | Neural Systems for Control
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems... | | The Handbook of Advanced Materials: Enabling New Designs
The use of improved materials enables engineers to design new and better products and processes. Benefits include increased sales of improved products and, where new materials are used in manufacturing, reduced plant cost. Society benefits through the use of improved products that use these new materials.
Sophisticated new... |
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Introduction to Airborne Radar, Second Edition (Aerospace & Radar Systems)
The completely rewritten and revised Second Edition updates a famous work originally published by the Hughes Aircraft Company. Much more than a simple introduction, the book is actually a history, reference, tech manual, and textbook rolled into one beautiful illustrated volume, packed with full color photos, drawings, tables and charts, plus... | | Finite Antenna Arrays and FSS
A periodic surface is an assembly of identical elements arranged in a one or two-dimensional array. Such surfaces have various effects on incident electromagnetic waves. Their applications range from antennas to stealth aircraft.This book discusses finite antenna arrays and how to minimize the radar cross section of these arrays.
... | | Learning Classifier Systems: From Foundations to Applications
Learning classier systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal dierence learning.
From the beginning, classier systems have attracted... |
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