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
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Improving the COCOMO model using a neuro-fuzzy approach
Applied Soft Computing
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
Segmented software cost estimation models based on fuzzy clustering
Journal of Systems and Software
Improved estimation of software project effort using multiple additive regression trees
Expert Systems with Applications: An International Journal
Why comparative effort prediction studies may be invalid
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
A study of the non-linear adjustment for analogy based software cost estimation
Empirical Software Engineering
Software Cost Estimation using Fuzzy Decision Trees
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Information and Software Technology
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
Empirical Software Engineering
Information and Software Technology
International Journal of Bio-Inspired Computation
ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Interval Type-2 Fuzzy Logic for Software Cost Estimation Using TSFC with Mean and Standard Deviation
ARTCOM '10 Proceedings of the 2010 International Conference on Advances in Recent Technologies in Communication and Computing
A shift-invariant morphological system for software development cost estimation
Expert Systems with Applications: An International Journal
Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems
Applied Soft Computing
Information Sciences: an International Journal
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
IEEE Transactions on Neural Networks
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In this work we present an evolutionary morphological approach to solve the software development cost estimation (SDCE) problem. The proposed approach consists of a hybrid artificial neuron based on framework of mathematical morphology (MM) with algebraic foundations in the complete lattice theory (CLT), referred to as dilation-erosion perceptron (DEP). Also, we present an evolutionary learning process, called DEP(MGA), using a modified genetic algorithm (MGA) to design the DEP model, because a drawback arises from the gradient estimation of morphological operators in the classical learning process of the DEP, since they are not differentiable in the usual way. Furthermore, an experimental analysis is conducted with the proposed model using five complex SDCE problems and three well-known performance metrics, demonstrating good performance of the DEP model to solve SDCE problems.