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» On the Use of Evidence in Neural Networks
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CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 7 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
IJCNN
2006
IEEE
15 years 8 months ago
A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering
— We describe an implementation of Gabor-type filters on field programmable gate arrays using the cellular neural network (CNN) architecture. The CNN template depends upon the ...
Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K....
ESWA
2010
118views more  ESWA 2010»
15 years 14 days ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
ICANN
2007
Springer
15 years 8 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...
ESANN
2001
15 years 3 months ago
Prediction of foreign exchange rates by neural network and fuzzy system based techniques
: Forecasting currency exchange rates are an important financial problem that is receiving increasing attention especially because of its intrinsic difficulty and practical applica...
Vassilis S. Kodogiannis, A. Lolis