Electronic nose : algorithmic challenges /: algorithmic challenges. ([2018])

• Record Type: Book
• Further Information: Note: Lei Zhang, Fengchun Tian, David Zhang.
• Authors: Zhang, Lei; Tian, Fengchun; Zhang, David, 1949-
• 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.
• Publisher Details: Singapore : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 681/.754; Computer science; Olfactory sensors; Gas detectors; Intelligent sensors; TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades; Computers -- Computer Vision & Pattern Recognition; Computers -- Computer Science; Medical -- General; Pattern recognition; Life sciences: general issues; Health & safety aspects of IT; Optical pattern recognition; Biometrics; Bioinformatics; Medical records_xData processing; Electronic books
• Languages: English
• ISBNs: 9789811321672; 9811321671
• Related ISBNs: 9789811321665; 9811321663
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (EBSCO, viewed September 20, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.