A matrix algebra approach to artificial intelligence. (2020)
- Record Type:
- Book
- Title:
- A matrix algebra approach to artificial intelligence. (2020)
- Main Title:
- A matrix algebra approach to artificial intelligence
- Further Information:
- Note: Xian-Da Zhang.
- Authors:
- Zhang, Xianda, 1946-
- Contents:
- Part 1. Introduction to Matrix Algebra -- Chapter 1. Basic Matrix Computation -- Chapter 2. Matrix Differential -- Chapter 3. Gradient and Optimization -- Chapter 4. Solution of Linear Systems -- Chapter 5. Eigenvalue Decomposition -- Part 2. Artificial Intelligence -- Chapter 6. Machine Learning -- Chapter 7. Neural Networks -- Chapter 8. Support Vector Machines -- Chapter 9. Evolutionary Computation.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (xxxiv, 820 pages), illustrations
- Subjects:
- 512.9/434
006.3
Matrices
Artificial intelligence -- Mathematics - Languages:
- English
- ISBNs:
- 9789811527708
9811527709 - Related ISBNs:
- 9811527695
9789811527692 - Notes:
- Note: Includes bibliographical references and index.
Note: Descrition based on online resource (SpringerLink, viewed June 26, 2020). - 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.510296
- Ingest File:
- 03_090.xml