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» Multiple Layer Perceptron training using genetic algorithms
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TNN
2010
234views Management» more  TNN 2010»
13 years 13 days ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
IJCNN
2006
IEEE
13 years 11 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 5 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
EPIA
2005
Springer
13 years 11 months ago
Improving Passage Retrieval in Question Answering Using NLP
Abstract. This paper describes an approach for the integration of linguistic information in passage retrieval in an open-source question answering system for Dutch. Annotation prod...
Jörg Tiedemann
IJCSS
2007
122views more  IJCSS 2007»
13 years 5 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...