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» Evolving Artificial Neural Networks that Develop in Time
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CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 1 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 ...
ESANN
2003
13 years 8 months ago
A recognition of filaments in solar images with an artificial neural network
A new technique based on the Artificial Neural Network (ANN) was developed for an automated recognition of solar filaments, dark elongated features visible in the hydrogen H-alpha ...
Valentina V. Zharkova, Vitaly Schetinin
EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
13 years 11 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
ICMLA
2009
13 years 5 months ago
Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of...
Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli
ESANN
2008
13 years 8 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher