Principles of artificial neural networks
Material type:
TextSeries: Advanced series in circuits and systemsPublication details: New Jersey World Scientific Edition: 4Description: 422 pISBN: 9780000988997Subject(s): Neural networks (Computer science)DDC classification: 006.32 Summary: Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
BK
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Kannur University Central Library Stack | Stack | 006.32 GRA/P (Browse shelf (Opens below)) | Available | 58869 |
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.
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