用级联前向人工神经网络检索带障碍物的微混合器参数:噪声数据下4种训练算法的比较

IF 1.7 4区工程技术 Q3 THERMODYNAMICS

Heat Transfer Research Pub Date : 2023-07-26 DOI:10.1002/htj.22929

Swagatika Acharya, V. Mishra, J. K. Patel, S. Chaudhuri

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Retrieval of parameters in micromixer with obstacle by cascade‐forward‐type artificial neural network: Comparison of four training algorithms under noisy data

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来源期刊

Heat Transfer Research 工程技术-热力学

CiteScore

3.10

自引率

23.50%

发文量

102

审稿时长

13.2 months

期刊介绍： Heat Transfer Research (ISSN1064-2285) presents archived theoretical, applied, and experimental papers selected globally. Selected papers from technical conference proceedings and academic laboratory reports are also published. Papers are selected and reviewed by a group of expert associate editors, guided by a distinguished advisory board, and represent the best of current work in the field. Heat Transfer Research is published under an exclusive license to Begell House, Inc., in full compliance with the International Copyright Convention. Subjects covered in Heat Transfer Research encompass the entire field of heat transfer and relevant areas of fluid dynamics, including conduction, convection and radiation, phase change phenomena including boiling and solidification, heat exchanger design and testing, heat transfer in nuclear reactors, mass transfer, geothermal heat recovery, multi-scale heat transfer, heat and mass transfer in alternative energy systems, and thermophysical properties of materials.