Neural networks and learning machines

By:

Haykin, Simon

Material type: Text

TextLanguage: ENG Publication details: Noida: Pearson India Education Services Pvt. Ltd, c2016.Edition: 3rd edDescription: xxiv, 918p. : ill. ; 23cmISBN:

9789332570313 (pbk.)

Subject(s):

DDC classification:

006.32 HAY 23rd

Summary: Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently. Salient Features :- • Based on the latest version of MATLAB® • More than 30 graphs in color in the chapter ""MATLAB® Graphics"". • List of commands at the end of the chapter for quick recapitulation. • Appendices on graphic user interface and control system analysis using the LTI viewer. • Approximately 250 figures and screenshots. • Programming tips to highlight good programming practices. • More than 250 solved examples and approximately 200 end-of-chapter exercises.

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Holdings
Item type	Current library	Call number	Status	Barcode
Books	Vigyanpuri Campus	006.32 HAY (Browse shelf(Opens below))	Available	007167

Includes bibliographic references, index, abbreviations and symbols list and glossary.

Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

Salient Features :-
• Based on the latest version of MATLAB® • More than 30 graphs in color in the chapter ""MATLAB® Graphics"".
• List of commands at the end of the chapter for quick recapitulation.
• Appendices on graphic user interface and control system analysis using the LTI viewer.
• Approximately 250 figures and screenshots.
• Programming tips to highlight good programming practices.
• More than 250 solved examples and approximately 200 end-of-chapter exercises.

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