Applications of Artificial Neural Networks
What is Artificial Neural Networks
PERFORMANCE OF DIFFERENT CLASSIFIERS IN SPEECH RECOGNITION
On Data Mining in Inverse Scattering Problems: Neural Networks Applied to GPR Data Analysis
Image Splicing Detection involving Moment-based Feature Extraction and Classification using Artificial Neural Networks
Artificial Neural Network
“Neural Networks with Self-Organizing Maps applied to Process Control”
Artificial Neural Networks: Prospects for Medicine
Chebyshev Functional Link Artificial Neural Networks for Denoising of Image Corrupted by Salt and Pepper Noise
Spinal Vibration Reduction in Vertical Vibration based on Artificial Neural Network Optimization by Using of Kitazaki Biodynamical Model
This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008.
The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.
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