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Publisher: IEEE
Languages: English
Types: Part of book or chapter of book
Subjects:
Online model order complexity estimation remains one of the key problems in neural network research. The problem is further exacerbated in situations where the underlying system generator is non-stationary. In this paper, we introduce a novelty criterion for resource allocating networks (RANs) which is capable of being applied to both stationary and slowly varying non-stationary problems. The deficiencies of existing novelty criteria are discussed and the relative performances are demonstrated on two real-world problems : electricity load forecasting and exchange rate prediction.
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    • [6] Ian T Nabney, Alan McLachlan, a n d David Lowe. Practical methods of tracking nonstationary time series applied t o real world d a t a (invited talk). In S K Rogers and D W Ruck, editors, AeroSense '96 - Applications and Science of ilrtijicial Neural Networks 11, pages 152-163. SPIE Publications Vol. 2760, 1996.
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