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Cover of Principles of Neurocomputing for Science and Engineering
Book details

Principles of Neurocomputing for Science and Engineering

by Fredric M. Ham, Ivica Kostanic

Published 2000672 pagesISBN 978-0-0702-5966-9

"Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering. Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET.

Beyond its central premise, the book can be read through the connected lenses of Nonfiction. Those themes offer useful points of attention as the characters, ideas, or world develop, especially where the book complicates the expectations of its primary category.

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Full BookenDeX details

What the reading experience may hold

A fuller profile for choosing with more confidence—not just another copy of the preview.

Themes to notice

Nonfiction

Use these as starting points rather than limits; the most memorable books often stretch beyond their catalog labels.

Content notes

No specific content concerns can be confirmed from the available English catalog information. Consult a publisher or reader-supplied guide when detailed warnings matter.

These notes are inferred from available catalog information and may not be complete. Check a publisher or reader-supplied guide if you need comprehensive warnings.

Reading experience

Balanced tone · Steady pace

Best when you want to settle into a longer reading experience.

Who it may suit

A good fit if…

Readers looking for a substantial, immersive commitment with room for a world or argument to unfold.

At a glance

This book's DNA

A visual estimate based on this edition's categories, description, and length. Select a star to explore the signals.

ToneBalanced
LuminousDark

This signal is descriptive, not a rating. It helps compare the kind of reading experience this edition may offer.

No plot details

Spoiler-Free Emotional Arc

A broad estimate of the book’s emotional rhythm, shown without story events or outcomes.

Spoiler-free
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PeakRelative emotional intensity
Principles of Neurocomputing for Science and EngineeringFredric M. Ham, Ivica Kostanic
Powerful4.4/5

This visualization is an interpretive estimate based on catalog description, categories, tone, pace, and content signals. It does not describe specific scenes.

Before you choose

A quick reading snapshot

Edition facts and catalog signals to help you decide whether this book fits what you want to read next.

Reading lengthA longer, immersive read672 pages in this edition
Publication eraModernFirst published or edition dated 2000
Primary categoryNonfictionExplore similar books below
ISBN-13
978-0-0702-5966-9
Language
English
Edition record
OL9249665M
BookenDeX editorial lens

A more thoughtful way into this book

This guide uses the edition details and category signals above to help you choose deliberately. It does not replace the author's work or a full review.

Good to know

Best when you want to settle into a longer reading experience.

Begin with its place in Nonfiction, then notice where the book resists that label.

Try this reading approach

Read for connection, not completion.

Mark one passage that sharpens the book's central concern and one that complicates it. That tension often reveals more than a quick summary.

Three questions to carry with you

  1. Whose perspective organizes the story, and whose perspective remains outside it?
  2. Which sources or lived experiences carry the author’s central argument?
  3. How does the book change the way you understand its larger subject?

Editorial framework by Wesley Bryan, BookenDeX Founder and Editor.