An improved functional link artificial neural networks with intuitionistic fuzzy clustering for software cost estimation-Reference-Cited by-同舟云学术

An improved functional link artificial neural networks with intuitionistic fuzzy clustering for software cost estimation

Published:2014-10-12 Issue:S1 Volume:7 Page:50-61
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Kaushik Anupama,Soni A. K.,Soni Rachna

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-014-0298-2.pdf

Reference31 articles.

1. Atanassov’s KT (1983) Intuitionistic fuzzy sets, VII ITKR’s session, Sofia, 983 deposed in central science—Technology Library of Bulgaria Academy of Science—1697/84

2. Benala TR, Sameet B, Kiran Swathi G, Vikram Gupta K, Ravi Teja Ch, Sumana S (2009) A novel neural network approach for software cost estimation using Functional Link Artificial Neural Network(FLANN). Int J Comput Sci Netw Soc 9:126–131

3. Benala TR, Dehuri S, Mall R (2012a) Functional link artificial neural networks for software cost estimation. Int J Appl Evol Comput 3:62–82

4. Benala TR, Dehuri S, Satapathy SC, Madhurakshara S (2012b) Genetic algorithm for optimizing functional link artificial neural network based software cost estimation. In: Proceedings of the international conference on information systems design and intelligent applications, advances in intelligent and soft computing 132: 75–82

5. Benala TR, Dehuri S, Mall R, Dehuri S, Prasanthi VL (2012c) Software effort prediction using fuzzy clustering and functional link artificial neural networks.Lecture notes in computer science. SEMCCO 7677:124–132

Cited by 10 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. Automated software effort estimation for agile development system by heuristically improved hybrid learning;Concurrency and Computation: Practice and Experience;2022-08-29

2. Software Effort Estimation Development From Neural Networks to Deep Learning Approaches;Journal of Cases on Information Technology;2022-01-28

3. Feature Selection Using Information Gain for Software Effort Prediction Using Neural Network Model;Lecture Notes in Electrical Engineering;2022

4. Comparative Analysis of Classifier Methods for Effort Estimation;2021 2nd International Conference on Computational Methods in Science & Technology (ICCMST);2021-12

5. Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades;Computer Science Review;2020-11