MPG.eBooks - Table of Contents: Electronic Nose: Algorithmic Challenges

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Electronic Nose: Algorithmic Challenges

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...

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Bibliographic Details
Main Authors:	Zhang, Lei, Tian, Fengchun (Author), Zhang, David (Author)
Format:	eBook
Language:	English
Published:	Singapore Springer Nature Singapore 2018, 2018
Edition:	1st ed. 2018
Subjects:	Health Informatics Bioinformatics Computational And Systems Biology Medical Informatics Biometrics Automated Pattern Recognition Biometric Identification Pattern Recognition Systems
Online Access:	https://doi.org/10.1007/978-981-13-2167-2?nosfx=y
Collection:	Springer eBooks 2005- - Collection details see MPG.ReNa

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

Electronic Nose: Algorithmic Challenges

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