Neural networks algorithms, applications, and programming techniques
Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural-netwo...
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Reading, Mass.
Addison-Wesley
1991
©1991 |
| Series: | Computation and neural systems series
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 090 | 0 | 0 | |a QA76.87 |b .F74 1991 |
| 100 | 1 | # | |a Freeman, James A |e author |
| 245 | 1 | 1 | |a Neural networks |b algorithms, applications, and programming techniques |c James A. Freeman, David M. Skapura |
| 264 | # | 1 | |a Reading, Mass. |b Addison-Wesley |c 1991 |
| 264 | # | 1 | |c ©1991 |
| 300 | # | # | |a xiii, 401 pages |b illustrations |c 24 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 490 | 1 | # | |a Computation and neural systems series |
| 504 | # | # | |a Includes bibliographical references and index |
| 520 | # | # | |a Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural-network architectures on traditional digital computing systems. |
| 650 | # | 0 | |a Neural networks (Computer science) |
| 650 | # | 0 | |a Computer algorithms |
| 700 | 1 | # | |a Skapura, David M |e author |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=066042 |
| 964 | # | # | |c BOK |d 01 |
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Building neural networks