NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neur ...
All the tool for build a network able to reconize any shapes.
Very complete, a good base for anything you want to do whith acknowledge, and neural network
MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers:
G. A. Barreto & A. F. R. Araujo (2004)
"Identification and Control of Dynamical Systems Using the Self-Organizing Map"
IEEE Transactions on Neural Networks, vol. 15, no. 5.
Face Recognition Library
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Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user ...
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are construct ...
Pattern Analysis is the process of fi nding general relations in a set of data,
and forms the core of many disciplines, from neural networks to so-called syn-
tactical pattern recognition, from statistical pattern recognition to machine
learning and data mining. Applications of pattern analysis ...
The idea of writing this book arose from the need to investigate the main principles of
modern power electronic control strategies, using fuzzy logic and neural networks, for
research and teaching. Primarily, the book aims to be a quick learning guide for
postgraduate/undergraduate students or desig ...
Recent years have seen a rapid development of neural network control tech-
niques and their successful applications. Numerous simulation studies and
actual industrial implementations show that artificial neural network is a good
candidate for function approximation and control system design in solvi ...
