Track Order   | Customer Support   | Request Book   |
International Order
Biologically Inspired Signal Processing For Chemical Sensing (Studies In Computational Intelligence Volume 188) at Meripustak

Biologically Inspired Signal Processing For Chemical Sensing (Studies In Computational Intelligence Volume 188)

Books from same Author: Agustín Gutiérrez ,  Santiago Marco

Books from same Publisher: Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg

Related Category: Author List / Publisher List

  • Retail Price: ₹ 14654/- [ 5.00% off ]

    Seller Price: ₹ 13921

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 5.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 5.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available


Click for International Orders
  • Provide Fastest Delivery
  • 100% Original Guaranteed
    • General Information  
    Author(s)Agustín Gutiérrez ,  Santiago Marco
    PublisherSpringer-Verlag Berlin And Heidelberg Gmbh & Co. Kg
    Edition2009 ed.
    ISBN9783642001758
    Pages169
    BindingHardback 
    LanguageEnglish
    Publish YearJuly 2009

    Description

    Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg Biologically Inspired Signal Processing For Chemical Sensing (Studies In Computational Intelligence Volume 188) by Agustín Gutiérrez ,  Santiago Marco

    Biologically Inspired Approaches For Artificial Sensing Have Been Extensively Applied To Different Sensory Modalities Over The Last Decades And Chemical Senses Have Been No Exception. The Olfactory System And The Gustatory System To A Minor Extent Has Been Regarded As A Model For The Development Of New Artificial Chemical Sensing S- Tems. One Of The Main Contributions To This Field Was Done By Persaud And Dodd In 1982 When They Proposed A System Based On An Array Of Broad-Selective Chemical Sensors Coupled With A Pattern Recognition Engine. The Array Aimed At Mimicking The Sensing Strategy Followed By The Olfactory System Where A Population Of Bro- Selective Olfactory Receptor Neurons Encodes For Chemical Information As Patterns Of Activity Across The Neuron Population. The Pattern Recognition Engine Proposed Was Not Based On Bio-Inspired But On Statistical Methods. This Influential Work Gave Rise To A New Line Of Research Where This Paradigm Has Been Used To Build Chemical Sensing Instruments Applied To A Wide Range Of Odor Detection Problems. More Recently Some Researchers Have Proposed To Extend The Biological Inspiration Of This System Also To The Processing Of The Sensor Array Signals. This Has Been Mo- Vated In Part By The Increasing Body Of Knowledge Available On Biological Olfaction Which Has Become In The Last Decade A Focus Of Attention Of The Experimental Neu- Science Community.