Intelligent systems are systems that, given some data, are able to learn from that data. This makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn, intelligent systems' functionality can be controlled through learning/training, without the need for a priori knowledge of their structure. Intelligent Systems for Machine Olfaction: Tools and Methodologies introduces new, state-of-the art applications of intelligent systems to researchers and developers in the area of machine olfaction. Readers will benefit from in-depth analyses of fundamental theories, potential trends, and key literature in the field, making this work both a source of application examples that can be readily implemented and a practical guide for the implementation of solutions in other scenarios.
| ISBN-13: | 9781615209156 |
| ISBN-10: | 1615209158 |
| Publisher: | Medical Information Science Reference |
| Publication date: | 2011 |
| Edition description: | 1 |
| Pages: | 334 |
| Product dimensions: | Height: 10 Inches, Length: 7 Inches, Weight: 1.79897205792 Pounds, Width: 0.81 Inches |
| Author: | Evor L. Hines |
| Language: | en |
| Binding: | Hardcover |
Discover more books in the same category
Be the first to review this book!