Fast Outlier Detection in High Dimensional Spaces
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Variable step search algorithm for feedforward networks
Neurocomputing
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Online estimation of electric arc furnace tap temperature by using fuzzy neural networks
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Time-series forecasting using flexible neural tree model
Information Sciences: an International Journal
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
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PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
A hybrid system with regression trees in steel-making process
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Generalized neural trees for pattern classification
IEEE Transactions on Neural Networks
Computational complexity reduction and interpretability improvement of distance-based decision trees
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Instance selection with neural networks for regression problems
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
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This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree consists of MLP neural networks, which optimize the split points and at the leaf level predict final outputs. The system is designed for regression problems of big and complex datasets. It was applied to the problem of steel temperature prediction in the electric arc furnace in order to decrease the process duration at one of the steelworks.