Engineering

Share this article:

Engineering

  • Join our comunity:

Handbook of Neural Computation

By: , Posted on: September 15, 2017

handbook of neural computation

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world.

Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.

Key Features

  • Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more
  • Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing
  • Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

You can read Chapter 1: Gravitational Search Algorithm With Chaos on ScienceDirect for a limited time.  

Want to read more? The book is available now on ScienceDirect. Want your own copy? Order on Elsevier.com and save up to 30%, enter STC317 at the checkout.

Connect with us on social media and stay up to date on new articles

Engineering

Engineering brings science and technology out of the lab and into the real world. Often without thinking about it, we engage every day with technology that is the product of careful, precise design and execution by engineers in electronics, optics, and communications; embedded systems; automotive, aerospace, and marine; mechanical; and many other disciplines. For decades, Elsevier has maintained and grown extensive collections in these and other cutting-edge areas, like biomechanics and nanotechnology, through our trusted imprints: Newnes, Academic Press, and Woodhead Publishing. In addition, our powerful online platforms like Knovel and Engineering Village help streamline research and development processes for users around the world.

Social Media Auto Publish Powered By : XYZScripts.com