Electronic Nose: Algorithmic Challenges

• Main Authors: Zhang, Lei (Author, http://id.loc.gov/vocabulary/relators/aut), Tian, Fengchun (http://id.loc.gov/vocabulary/relators/aut), Zhang, David (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Pattern recognition.; Biometrics (Biology).; Bioinformatics.; Health informatics.; Pattern Recognition.; Biometrics.; Computational Biology/Bioinformatics.; Health Informatics.

This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it add...

Table of Contents:

• Part 1 : Overview
• Chapter 1. Introduction
• Chapter 2. Literature Review
• Part 2 : E-nose Odor Recognition and Prediction: Challenge I
• Chapter 3. Heuristic and Bio-inspired Neural Network Model
• Chpater 4. Chaos based Neural Network Optimization Approach
• Chapter 5. Multilayer Perceptrons based Concentration Estimation, etc.