ML Anthology

Adaptive Hybrid System Architecture for Forecasting

Juan M. Corchado
AAAI 1997 pp. 808
/aaai/1997/corchado1997aaai-adaptive/

Abstract

The aim of the research is to combine Symbolic Artificial Intelligence (AI) (Case Base Reasoning systems) and Connectionist AI (particularly Radial Basis Functions Multi-layer Perceptron and Neuro-fuzzy Algorithms) to develop an improved joint approach to forecasting. New ways to combine Connectionist and Symbolic AI techniques to obtain stronger, more flexible and more adaptive forecasting systems are being investigated.

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Cite

Text

Corchado. "Adaptive Hybrid System Architecture for Forecasting." AAAI Conference on Artificial Intelligence, 1997.

Markdown

[Corchado. "Adaptive Hybrid System Architecture for Forecasting." AAAI Conference on Artificial Intelligence, 1997.](https://mlanthology.org/aaai/1997/corchado1997aaai-adaptive/)

BibTeX

@inproceedings{corchado1997aaai-adaptive,
  title     = {{Adaptive Hybrid System Architecture for Forecasting}},
  author    = {Corchado, Juan M.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1997},
  pages     = {808},
  url       = {https://mlanthology.org/aaai/1997/corchado1997aaai-adaptive/}
}