Investigation of the CasCor family of learning algorithms
Neural Networks
Modeling with constructive backpropagation
Neural Networks
Adaptive mixtures of local experts
Neural Computation
Output partitioning of neural networks
Neurocomputing
IEEE Transactions on Neural Networks
Parallel growing and training of neural networks using output parallelism
IEEE Transactions on Neural Networks
Reduced Pattern Training Based on Task Decomposition Using Pattern Distributor
IEEE Transactions on Neural Networks
Efficient classification for multiclass problems using modular neural networks
IEEE Transactions on Neural Networks
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Task decomposition is a widely used method to solve complex and large problems. In this paper, it is proposed a novel task decomposition approach, named Tree Architecture Pattern Distributor (TreeArchPD), which is based on another task decomposition technique, called Pattern Distributor. The main idea is to design a tree architecture with many Distributors instead of using only one Distributor as proposed by the original technique. It is also proposed a new class grouping method that aims to optimize the class selection for task decomposition. Many experiments were done and they showed the effectiveness of the proposed approaches.