Principal Component Neural Networks: Theory and Applications

by Konstantinos Diamantaras and S y Kung

Neural Network research studies how computers can be designed to emulate many of the logical and intelligent functions of the brain. The principles behind how the brain work are closely related to a statistical technique known as the Principal Component Analysis (PCA). PCA neural networks are systems that use this classical statistical technique to process information. Understanding biological perceptual systems is of great importance to engineers...

• Format: Hardcover
• Language: English
• ISBN: 0471054364
• ISBN13: 9780471054368
• Release Date: March 1996
• Publisher: Wiley-Interscience
• Length: 272 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.7" x 6.4" x 9.5"