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.
標簽： decision 4.5 accurate generate
上傳時間： 2013-12-10
上傳用戶：anng
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.
標簽： multimedia Semantic analysis research
上傳時間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
BP算法神經網絡，是用C++寫的。功能強大。 有技術含量的。-BP neural network algorithm, is written in C. Powerful. A technical content
上傳時間： 2017-02-17
上傳用戶：黃華強
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
標簽： for complete reconize network
上傳時間： 2017-03-09
上傳用戶：qq21508895
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.
標簽： implementation prediction described following
上傳時間： 2013-12-22
上傳用戶：windwolf2000
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
標簽： Recognition recognition Advanced Library
上傳時間： 2017-04-25
上傳用戶：784533221
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.
標簽： foundations The consists sections
上傳時間： 2017-06-22
上傳用戶：lps11188
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.
標簽： the relations Analysis Pattern
上傳時間： 2017-09-07
上傳用戶：SimonQQ
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.
標簽： neural_and_Fuzzy_Logic_Control
上傳時間： 2020-06-10
上傳用戶：shancjb
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.
標簽： Stable_adaptive_neural_network_co ntrol
上傳時間： 2020-06-10
上傳用戶：shancjb
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