You might also like

More about Pattern Recognition Using Neural Networks

• Book details
• Synopsis
• Trending among others

You get 816 loyalty points

Book synopsis

Pattern Regcognition with Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks from an algorithmic approach. The author has written a real-world practical "why-and-how" text that provides a refreshing contrast to competing texts' thoeretical appraoch and "pie-in-the-sky" claims. The text explores mulitple layered preceptrons and describes network types such as functional link, radial basis function, learning vector quantanization and self-organizing. The author also discusses recent clustering methods. This text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a resource.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Pattern Recognition Using Neural Networks
• Author: Carl G. Looney
• Language: English
• Binding: Hardback
• Number of pages: 480
• EAN: 9780195079203
• ISBN: 0195079205
• ID: 04513064
• Publisher: Oxford University Press Inc
• Weight: 1020 g
• Dimensions: 241 × 197 × 27 mm
• Date of publishing: 01. February 1997

Trending among others

---

---

---