A Representation Theory for Morphological Image and Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Why mathematical morphology needs complete lattices
Signal Processing
Adaptive rank order based filters
Signal Processing
Empirical Data Modeling in Software Engineering Using Radial Basis Functions
IEEE Transactions on Software Engineering
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Software Effort Estimation Using Machine Learning Techniques with Robust Confidence Intervals
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Proceedings of the 2008 ACM symposium on Applied computing
Reducing biases in individual software effort estimations: a combining approach
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Improved estimation of software project effort using multiple additive regression trees
Expert Systems with Applications: An International Journal
A study of the non-linear adjustment for analogy based software cost estimation
Empirical Software Engineering
A Morphological-Rank-Linear Approach for Software Development Cost Estimation
ICTAI '09 Proceedings of the 2009 21st IEEE International Conference on Tools with Artificial Intelligence
An introduction to morphological perceptrons with competitive learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Structuring element adaptation for morphological filters
Journal of Visual Communication and Image Representation
A Hybrid Intelligent Morphological Approach for Stock Market Forecasting
Neural Processing Letters
Information and Software Technology
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A shift-invariant morphological system for software development cost estimation
Expert Systems with Applications: An International Journal
MRL-filters: a general class of nonlinear systems and their optimal design for image processing
IEEE Transactions on Image Processing
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
IEEE Transactions on Neural Networks
LMES: A localized multi-estimator model to estimate software development effort
Engineering Applications of Artificial Intelligence
Hi-index | 12.06 |
In this paper we propose a hybrid methodology to design morphological-rank-linear (MRL) perceptrons in the problem of software development cost estimation (SDCE). In this methodology, we use a modified genetic algorithm (MGA) to optimize the parameters of the MRL perceptron, as well as to select an optimal input feature subset of the used databases, aiming at a higher accuracy level for SDCE problems. Besides, for each individual of MGA, a gradient steepest descent method is used to further improve the MRL perceptron parameters supplied by MGA. Finally, we conduct an experimental analysis with the proposed methodology using six well-known benchmark databases of software projects, where two relevant performance metrics and a fitness function are used to assess the performance of the proposed methodology, which is compared to classical machine learning models presented in the literature.