Granular neural networks, pattern recognition and bioinformatics. (2017)
- Record Type:
- Book
- Title:
- Granular neural networks, pattern recognition and bioinformatics. (2017)
- Main Title:
- Granular neural networks, pattern recognition and bioinformatics
- Further Information:
- Note: Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada.
- Authors:
- Pal, Sankar K
Ray, Shubhra S
Ganivada, Avatharam - Contents:
- Introduction to Granular Computing, Pattern Recognition and Data Mining -- Classification using Fuzzy Rough Granular Neural Networks -- Clustering using Fuzzy Rough Granular Self-Organizing Map -- Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xix, 227 pages), illustrations (some color)
- Subjects:
- 006.3/2
Engineering
Neural networks (Computer science)
Pattern recognition systems
Neural networks (Computer science)
Pattern recognition systems
Engineering
Computational Intelligence
Artificial Intelligence (incl. Robotics)
Computational Biology/Bioinformatics
Computers -- Intelligence (AI) & Semantics
Computers -- Computer Science
Artificial intelligence
Life sciences: general issues
Artificial intelligence
Bioinformatics
Electronic books - Languages:
- English
- ISBNs:
- 9783319571157
3319571133
9783319571133 - Related ISBNs:
- 331957115X
9783319571133 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed May 15, 2017). - 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.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.370588
- Ingest File:
- 01_355.xml