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ICTAI
2008
IEEE
16 years 11 days ago
A Pyramidal Neural Network Based on Nonclassical Receptive Field Inhibition
This paper presents a new artificial neural network, called I-PyraNet. This new architecture is based on the combination between concepts of the recently described PyraNet and th...
Bruno J. T. Fernandes, George D. C. Cavalcanti
IJCNN
2007
IEEE
16 years 8 days ago
A Neural Network based Audio Content Classification
— The emergence of digital music in the Internet calls for a reliable real-time tool to analyze and properly categorize them for the users. To incorporate content or genre querie...
Vikramjit Mitra, Chia-Jiu Wang
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 11 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 ...
ICANN
2005
Springer
15 years 11 months ago
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
WIRN
2005
Springer
15 years 11 months ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...