Constructive Neural Network Learning Algorithms for Multi-Category Real-Valued Pattern Classification

@inproceedings{Parekh1997ConstructiveNN,
  title={Constructive Neural Network Learning Algorithms for Multi-Category Real-Valued Pattern Classification},
  author={Rajesh Parekh and Jihoon Yang},
  year={1997}
}
Constructive learning algorithms offer an attractive approach for incremental construction of potentially nearminimal neural network architectures for pattern classification tasks. These algorithms help overcome the need for ad-hoc and often inappropriate choice of network topology in the use of algorithms that search for a suitable weight setting in an a-priori fixed network architecture. Several such algorithms proposed in the literature have been shown to converge to zero classification… CONTINUE READING

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