Hidden Bibliographic Details
| Varying Form of Title: | Artificial neural networks
|
|---|
| Other authors / contributors: | Mohan, Chilukuri K., author.
Ranka, Sanjay, author.
|
|---|
| ISBN: | 9780262279628
0262279622
0585037981
9780585037981
9780262133289
0262133288
|
|---|
| Digital file characteristics: | text file
PDF
|
|---|
| Notes: | "A Bradford book."
Includes bibliographical references (pages 331-338) and index.
English.
Print version record.
|
|---|
| Summary: | Elements of artificial neural networks provides a clear introduction to neural networks for those who want to use them rather than simply study them. The authors, who have been team-teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss their rationale and relative advantages. Their approach requires little mathematical or technical background. Written, from a computer science and statistics point of view, the text stresses links to contiguous fields and con serves as a first course for students in economics and management.
|
|---|
| Other form: | Print version: Mehrotra, Kishan. Elements of artificial neural networks. Cambridge, Mass. : MIT Press, ©1997 0262133288
|
|---|
