Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Morphology neural networks: an introduction with applications
Circuits, Systems, and Signal Processing - Special issue: networks for neural processing
A Comparative Analysis of Methods for Pruning Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy logical bidirectional associative memory
Information Sciences—Applications: An International Journal
LADAR target detection using morphological shared-weighted neural networks
Machine Vision and Applications
Fuzzy lattice neurocomputing (FLN) models
Neural Networks
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Grey-Scale Morphology Based on Fuzzy Logic
Journal of Mathematical Imaging and Vision
Fuzzy expert systems architecture for image classification using mathematical morphology operators
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Connections between binary, gray-scale and fuzzy mathematical morphologies
Fuzzy Sets and Systems
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
An Introduction to Morphological Neural Networks
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Journal of Mathematical Imaging and Vision
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification
Journal of Mathematical Imaging and Vision
Matrix decomposition in minimax algebra and applications in image processing
Matrix decomposition in minimax algebra and applications in image processing
Geometric modeling and representation based on sweep mathematical morphology
Information Sciences—Informatics and Computer Science: An International Journal
Adaptive mathematical morphology for edge linking
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences: an International Journal
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
A general framework for fuzzy morphological associative memories
Fuzzy Sets and Systems
Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality
Journal of Mathematical Imaging and Vision
On the application of Associative Morphological Memories to Hyperspectral Image Analysis
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
An introduction to morphological perceptrons with competitive learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On the role of complete lattices in mathematical morphology: From tool to uncertainty model
Information Sciences: an International Journal
Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On fuzzy associative memory with multiple-rule storage capacity
IEEE Transactions on Fuzzy Systems
Design and analysis of fuzzy morphological algorithms for image processing
IEEE Transactions on Fuzzy Systems
Implicative Fuzzy Associative Memories
IEEE Transactions on Fuzzy Systems
Fuzzy lattice neural network (FLNN): a hybrid model for learning
IEEE Transactions on Neural Networks
Automatic target detection using entropy optimized shared-weight neural networks
IEEE Transactions on Neural Networks
Lattice algebra approach to single-neuron computation
IEEE Transactions on Neural Networks
Gray-scale morphological associative memories
IEEE Transactions on Neural Networks
Permutation-based finite implicative fuzzy associative memories
Information Sciences: an International Journal
Information Sciences: an International Journal
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting
Proceedings of the 13th annual conference on Genetic and evolutionary computation
An introduction to the kosko subsethood FAM
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting
Neural Processing Letters
Quantale-based autoassociative memories with an application to the storage of color images
Pattern Recognition Letters
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A morphological neural network is generally defined as a type of artificial neural network that performs an elementary operation of mathematical morphology at every node, possibly followed by the application of an activation function. The underlying framework of mathematical morphology can be found in lattice theory. With the advent of granular computing, lattice-based neurocomputing models such as morphological neural networks and fuzzy lattice neurocomputing models are becoming increasingly important since many information granules such as fuzzy sets and their extensions, intervals, and rough sets are lattice ordered. In this paper, we present the lattice-theoretical background and the learning algorithms for morphological perceptrons with competitive learning which arise by incorporating a winner-take-all output layer into the original morphological perceptron model. Several well-known classification problems that are available on the internet are used to compare our new model with a range of classifiers such as conventional multi-layer perceptrons, fuzzy lattice neurocomputing models, k-nearest neighbors, and decision trees.