Handbook Of Biosensors And Electronic Noses

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Handbook of Biosensors and Electronic Noses

In developing the electronic nose and biosensor devices, researchers not only copy biochemical pathways, but also use nature's approach to signal interpretation as a blueprint for man-made sensing systems. Commercial biosensors have demonstrated their benefits and practical applications, providing high sensitivity and selectivity, combined with a significant reduction in sample preparation assay time and the use of expensive reagents. The Handbook of Biosensors and Electronic Noses discusses design and optimization for the multitude of practical uses of these devices including:
Handbook of Biosensors and Electronic Noses

In developing the electronic nose and biosensor devices, researchers not only copy biochemical pathways, but also use nature's approach to signal interpretation as a blueprint for man-made sensing systems. Commercial biosensors have demonstrated their benefits and practical applications, providing high sensitivity and selectivity, combined with a significant reduction in sample preparation assay time and the use of expensive reagents. The Handbook of Biosensors and Electronic Noses discusses design and optimization for the multitude of practical uses of these devices including:
Neural information processing [electronic resource]
![Neural information processing [electronic resource]](https://library.ardhindie.com/contents/assets/images/blank.png)
Author: Nikil R. Pal
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-11-18
Annotation This book constitutes the refereed proceedings of the 11th International Conference on Neural Information Processing, ICONIP 2004, held in Calcutta, India in November 2004. The 186 revised papers presented together with 24 invited contributions were carefully reviewed and selected from 470 submissions. The papers are organized in topical sections on computational neuroscience, complex-valued neural networks, self-organizing maps, evolutionary computation, control systems, cognitive science, adaptive intelligent systems, biometrics, brain-like computing, learning algorithms, novel neural architectures, image processing, pattern recognition, neuroinformatics, fuzzy systems, neuro-fuzzy systems, hybrid systems, feature analysis, independent component analysis, ant colony, neural network hardware, robotics, signal processing, support vector machine, time series prediction, and bioinformatics.