An optimized ANN for the performance prediction of an automotive air conditioning system-Reference-Cited by-同舟云学术

An optimized ANN for the performance prediction of an automotive air conditioning system

Published:2019-02-04 Issue:3 Volume:25 Page:282-296
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Datta Santanu Prasad¹,Das Prasanta Kumar²,Mukhopadhyay Siddhartha³

Affiliation:

1. Department of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Hyderabad, Telangana, India

2. Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, India

3. Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India

Funder

General Motors India Science Lab Bangalore

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2018.1526014

Reference57 articles.

1. Thermal performance of a diffusion absorption refrigeration system driven by waste heat from diesel engine exhaust gases

2. An application of the artificial neural network to optimise the energy performances of a magnetic refrigerator

3. Artificial neural network analysis of heat pumps using refrigerant mixtures

4. Performance parameters estimation of MAC by using artificial neural network

5. Neural networks?a new approach to model vapour-compression heat pumps

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