The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practiti
Pattern Recognition with Neural Networks in C++
โ Scribed by Abhijit S. Pandya, Robert B. Macy
- Publisher
- CRC Press
- Year
- 1996
- Tongue
- English
- Leaves
- 410
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The addition of artificial network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this practical guide to the application of artificial neural networks. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks.
๐ SIMILAR VOLUMES
Dr. Bishop is a world-renowned expert in this field, but his book didn't work for me. Despite the title, it covers the more general topic of classification, not just Neural Networks. However, it does so less well than my favorites (esp. Hastie and Tibshirani). In terms of specific discussion of nonl
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modelling probability density functions and the properties and merits of the multi-layer perceptro
properly designed multi-layer networks can learn complex mappings in high-dimensional spaces without requiring complicated hand-crafted feature extractors.
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron