DEEP LEARNING-BASED FORWARD MODELING AND INVERSION TECHNIQUES FOR COMPUTATIONAL PHYSICS PROBLEMS by Yinpeng Wang ( 9781032502984 )

Item Details

Title:

DEEP LEARNING-BASED FORWARD MODELING AND INVERSION TECHNIQUES FOR COMPUTATIONAL PHYSICS PROBLEMS

By:

Yinpeng Wang

Format:

Hardback

List price:

£77.99

Our price:

£70.19

Discount:

10% off

You save:

£7.80

ISBN 10:

1032502983

ISBN 13:

9781032502984

Availability:

Usually dispatched within 3-5 days.

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Stock:

Currently 3 available

Publisher:

TAYLOR & FRANCIS LTD

Pub. date:

20 June, 2023

Pages:

200

Description:

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.

Illustrations:

14 Tables, black and white; 83 Line drawings, black and white; 54 Halftones, black and white; 137 Illustrations, black and white

Returns:

Returnable

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