Practical computer vision using C
Practical computer vision using C
Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Is Neural Network a Reliable Forecaster on Earth? A MARS Query!
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Hierarchical character recognition and its use in handwritten word/phrase recognition
Hierarchical character recognition and its use in handwritten word/phrase recognition
An analysis of cooperative coevolutionary algorithms
An analysis of cooperative coevolutionary algorithms
Improving Cascading Classifiers with Particle Swarm Optimization
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Character Recognition Based on Hierarchical RBF Neural Networks
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Ensembles of Multilayer Perceptron and Modular Neural Networks for Fast and Accurate Learning
MICAI '06 Proceedings of the Fifth Mexican International Conference on Artificial Intelligence
Evolving dynamic Bayesian networks with Multi-objective genetic algorithms
Applied Intelligence
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
Applied Intelligence
Combined input variable selection and model complexity control for nonlinear regression
Pattern Recognition Letters
A modular neural network for super-resolution of human faces
Applied Intelligence
Optimal design of neural nets using hybrid algorithms
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Study on hybrid PS-ACO algorithm
Applied Intelligence
Hybrid ensemble approach for classification
Applied Intelligence
Ensembles of ARTMAP-based neural networks: an experimental study
Applied Intelligence
Recognition of Arabic (Indian) bank check digits using log-gabor filters
Applied Intelligence
Psychological model of particle swarm optimization based multiple emotions
Applied Intelligence
A two-leveled symbiotic evolutionary algorithm for clustering problems
Applied Intelligence
Simultaneous optimization of artificial neural networks for financial forecasting
Applied Intelligence
Image annotation by modeling Supporting Region Graph
Applied Intelligence
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The enormous services obtainable by bank and postal systems are not 100 % guaranteed due to variability of handwriting styles. Various methods based on neural networks have been suggested to address this issue. Unfortunately, they often fall into local optima that arises from the use of old learning methods. Global optimization methods provided new directions for neural networks evolution that may be useful in recognition. This paper develops efficient algorithms that compute globally optimal solutions by exploiting the benefits of both swarm intelligence and neuro-evolution in a way to improve the overall performance of a character recognition system. Various adaptations implied to both MLP and RBF networks have been suggested namely: particle swarm optimization (PSO) and the bees algorithm (BA) for characters classification, MLP training or RBF design by co-evolution and effective combinations of MLPs, RBFs or SVMs as an attempt to overcome the drawbacks of old recognition methods. Results proved that networks combination proposals ensure the highest improvement compared to either standard MLP and RBF networks, the co-evolutionary alternatives or other classifiers combination based on common combination rules namely majority voting, the fusion rules of min, max, sum, average, product and Bayes, Decision template and the Behavior Knowledge Space (BKS).