Applying the Hopfield Neural Network to the Solution of the Temperature Distribution Field in Heat Conduction Problems-Reference-Cited by-同舟云学术

Applying the Hopfield Neural Network to the Solution of the Temperature Distribution Field in Heat Conduction Problems

Published:2006-12 Issue:6 Volume:50 Page:535-559
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Deng S.¹,Hwang Y.¹

Affiliation:

1. a Department of Weapon System Engineering , Chung Cheng Institute of Technology, National Defense University , Taoyuan , Taiwan , Republic of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Mechanics of Materials,Condensed Matter Physics,Modelling and Simulation,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790600681369

Reference15 articles.

1. M. N. Özisik and H. R. B. Orlande , Inverse Heat Transfer, , 2nd ed. , pp. 1 – 59 , Taylor & Francis , New York , 2000 .

2. J. V. Beck , B. Blackwell , and C. R. St. Clair , Inverse Heat Conduction Ill-posed Problems , pp. 1 – 3 , Wiley , New York , 1985 .

3. Static and Dynamic Neural Networks

4. Neurons with graded response have collective computational properties like those of two-state neurons.

5. Computing with Neural Circuits: A Model

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