Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions

Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions

Software estimation involves meeting a huge number of different requirements, such as resource allocation, cost estimation, effort estimation, time estimation, and the changing demands of software product customers. Numerous estimation models try to solve these problems. In our experiment, a cluster...

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Bibliographic Details
Main Authors: Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Ljubomir Lazic
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Entropy
Subjects:
software development estimation
artificial neural network design
orthogonal array-based experiment
clustering
fuzzification
activation function choices
Online Access:https://www.mdpi.com/1099-4300/23/7/854

Internet

https://www.mdpi.com/1099-4300/23/7/854

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