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| 001 | 000000922452 | |
| 005 | 19990120094009.0 | |
| 008 | 950822s1995 enka b 001 0 eng | |
| 010 | ▼a 95040465 | |
| 020 | ▼a 0198538499 (hbk) | |
| 020 | ▼a 0198538642 (pbk) | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 244002 | |
| 049 | 0 | ▼l 151031978 |
| 050 | 0 0 | ▼a QA76.87 ▼b .B574 1995 |
| 082 | 0 0 | ▼a 006.4 ▼2 20 |
| 090 | ▼a 006.4 ▼b B622n | |
| 100 | 1 | ▼a Bishop, Christopher M. |
| 245 | 1 0 | ▼a Neural networks for pattern recognition / ▼c Christopher M. Bishop. |
| 260 | ▼a Oxford : ▼b Clarendon Press ; ▼a New York : ▼b Oxford University Press, ▼c 1995. | |
| 300 | ▼a xvii, 482 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes biliographical references (p. [457]-475) and index. | |
| 650 | 0 | ▼a Neural networks (Computer science). |
| 650 | 0 | ▼a Pattern recognition systems. |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.4 B622n | Accession No. 121118427 (20회 대출) | Availability Available | Due Date | Make a Reservation | Service |
| No. 2 | Location Sejong Academic Information Center/Science & Technology/ | Call Number 006.4 B622n | Accession No. 151031978 (8회 대출) | Availability Available | Due Date | Make a Reservation | Service |
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.4 B622n | Accession No. 121118427 (20회 대출) | Availability Available | Due Date | Make a Reservation | Service |
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Sejong Academic Information Center/Science & Technology/ | Call Number 006.4 B622n | Accession No. 151031978 (8회 대출) | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Book Introduction
This is a comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the topics of data processing, feature extraction and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.
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