Influence of input values on the prediction model error using artificial neural network based on Taguchi's orthogonal array-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Influence of input values on the prediction model error using artificial neural network based on Taguchi's orthogonal array

Published:2022-01-27 Issue:20 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Rankovic Nevena¹^ORCID,Rankovic Dragica²,Ivanovic Mirjana³,Lazic Ljubomir⁴

Affiliation:

1. Department of Computer Science, School of Computing Union University Belgrade Serbia

2. Department of Mathematics, School of Computing Union University Belgrade Serbia

3. Department of Mathematics and Informatics, Faculty of Sciences University of Novi Sad Novi Sad Serbia

4. Department of Computer Engineering, School of Computing Union University Belgrade Serbia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6831

Reference41 articles.

1. A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays

2. Neural learning using orthogonal arrays;Stoica A;Adv. Intell. Syst,1997

3. Optimal design of neural networks using the Taguchi method

4. LangsariK SarnoR.Optimizing effort and time parameters of COCOMO II estimation using fuzzy multi‐objective PSO. Proceedings of the 2017 4th International Conference on Electrical Engineering Computer Science and Informatics (EECSI); 2017:1‐6.

5. Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovation in Hyperinsulinemia Diagnostics with ANN-L(atin square) Models;Diagnostics;2023-02-20

2. Special Issue on International Conference on Innovations in Intelligent Systems and Applications (INISTA 2021);Concurrency and Computation: Practice and Experience;2022-03-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3