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 Neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the Neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further increasing
its ability to provide accurate classification of the specific content.
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
========================
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 to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit for Registered Users.
Please register here for only $299 with Source Code :
http://www.research-lab.com/facerecognitionorder.htm
(c) www.research-lab.com
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 constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as Neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
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 range from bioin-
formatics to document retrieval.
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 design engineers interested in learning the
fundamentals of modern control of drives and power systems in conjunction with the
powerful design methodology based on VHDL.
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 solving the
control problems of complex nonlinear systems in the presence of different kinds
of uncertainties. Many control approaches/methods, reporting inventions and
control applications within the fields of adaptive control, Neural control and
fuzzy systems, have been published in various books, journals and conference
proceedings.
