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ESANN
2001
15 years 3 months ago
Input data reduction for the prediction of financial time series
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
CSL
2007
Springer
15 years 1 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
ESWA
2008
124views more  ESWA 2008»
15 years 1 months ago
A hybrid financial analysis model for business failure prediction
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-...
IWANN
2009
Springer
15 years 8 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
85
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DATE
2000
IEEE
83views Hardware» more  DATE 2000»
15 years 6 months ago
Predicting Coupled Noise in RC Circuits
A novel method which can be regarded as the noisecounterpart of the celebrated Elmore’s delay formula— both being based on the first two moments of the network’s transfer fu...
Bernard N. Sheehan