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Mathematical Perspectives on Neural Networks - Developments in Connectionist Theory Series 1st edition
Mathematical Perspectives on Neural Networks - Developments in Connectionist Theory Series
A body of results of new mathematical learning and processing in neural networks. The book also fills in background in such areas as computability theory, theory of analogue computation, time-series analysis, Bayesian analysis, computational learning theory and mathematical statistics.
878 pages
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 1, 1996 |
| ISBN13 | 9780805812015 |
| Publishers | Taylor & Francis Inc |
| Pages | 878 |
| Dimensions | 150 × 220 × 20 mm · 1.12 kg |
| Language | English |
| Editor | Mozer, Michael C. |
| Editor | Rumelhart, David E. |
| Editor | Smolensky, Paul |