Ebook Download Initiative - The sixth book in the Red Gambit series.By Colin Gee

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Initiative - The sixth book in the Red Gambit series.By Colin Gee

Initiative - The sixth book in the Red Gambit series.By Colin Gee


Initiative - The sixth book in the Red Gambit series.By Colin Gee


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Initiative - The sixth book in the Red Gambit series.By Colin Gee

The sixth in a series of books that cover World War Three, from July 1945 through to its close in September 1947. 1946 has moved out of its suspended state, and violence has blossomed once again. In the Pacific, the war reaches a peak of horror previously undreamt of in the history of man. The severe European winter is a fading memory, but its after effects still resonate, particularly with the Red Army, deprived of the chattels of war. The fighting drags on, with little to show for the plans and devices of the politicians and generals. Each side has its new efforts; each side experiences new disappointments. Germany is strengthening and starts to shoulder more of the Allied burden, filling gaps left by the weakening of Britain and the United States. Logistically bankrupt, the Red Army strives for one more struggle, one focussed effort against one of the Allies, in an effort to knock that nation out of the war, knowing that failure could spell the end, but that success could pluck victory from the jaws of defeat. [The ‘Red Gambit Series’ novels are works of fiction, and deal with fictional events. Most of the characters therein are a figment of the author’s imagination. Without exception, those characters that are historical figures of fact or based upon historical figures of fact are used fictitiously, and their actions, demeanour, conversations, and characters are similarly all figments of the author’s imagination.]

  • Sales Rank: #1072599 in Books
  • Published on: 2015-09-02
  • Original language: English
  • Dimensions: 8.50" h x 1.36" w x 5.50" l,
  • Binding: Paperback
  • 602 pages

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PDF Download Septieme Art, Edition: 1By David Aldstadt

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Septieme Art, Edition: 1By David Aldstadt

  • Published on: 2007
  • Binding: Paperback

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Free Ebook Neural Smithing: Supervised Learning in Feedforward Artificial Neural NetworksBy Russell Reed, Robert J Marks II

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Neural Smithing: Supervised Learning in Feedforward Artificial Neural NetworksBy Russell Reed, Robert J Marks II

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition).

This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.

  • Amazon Sales Rank: #1124293 in Books
  • Published on: 1999-03-26
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.00" h x 1.20" w x 6.00" l, 1.79 pounds
  • Binding: Hardcover
  • 352 pages

Amazon.com Review A practical book, Neural Smithing is aimed at the reader who intends to design and build neural networks for applications from forecasting to pattern recognition. The authors concentrate on multilayer perceptrons (MLPs) as the most commonly used neural network model, which adds to the book's overall clarity and focus.

This textbook-style reference begins with simple, single-layer networks and the elements of supervised learning. It then builds on these basics with such topics as error surfaces, genetic algorithms, and generalization. Examples and illustrations guide the reader through the discussion, but the authors don't suggest problems for further study--a small omission in an otherwise well-constructed book.

Readers must know calculus and statistics to make sense of the text, but they don't need much knowledge of neural computing. Whether used as an introductory textbook or as a professional reference, Neural Smithing is highly useful. Tightly focused and easy to use, it should have a place next to every neural toolbox. --Rob Lightner

About the Author Russell D. Reed is Research Assistant Professor of Electrical Engineering, and Robert J. Marks II is Professor of Electrical Engineering, both at the University of Washington.

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