NDLI: Classification of traditional Chinese medicine by nearest-neighbour classifier and genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zhang Lixin Zhao Yannan Yang Zehong Wang Jiaxin Cai Shaoqing Liu Hongyu
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Zhang Lixin; Zhao Yannan; Yang Zehong; Wang Jiaxin)
Abstract	The identification of traditional Chinese medicine is a difficult subject in pharmacology. The development of chemical measurement and pattern recognition make chemical pattern recognition possible. In this paper a new chemical pattern recognition method named NN2GA is proposed, in which a simple method named corresponding-peak distance calculation is used to compute the distance between samples for a nearest neighbor (NN) classifier, and a genetic algorithm is used to optimize the parameters of the NN classifier. A method named NN3GA, which is realized by adding a parameter to NN2GA, is proposed to improve the performance of the classifier. Experiments are carried out on chromatogram data of Panax, and comparisons are made between NNPR, NN2GA, and NN3GA classifiers. The results indicate that the method which combines NN with a genetic algorithm can identify medicine material having different harvest times or habitats. Furthermore, this method is robust, accurate and easy to implement.
Starting Page	1596
Ending Page	1601
File Size	359271
Page Count	6
File Format	PDF
ISBN	0972184414
DOI	10.1109/ICIF.2002.1021007
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Int. Soc. of Information Fusion
Subject Keyword	Genetic algorithms Neural networks Nearest neighbor searches Testing Chemical technology Optimization methods Chemical analysis Principal component analysis Laboratories Intelligent systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Classifier for chinese traditional medicine with high-dimensional and small sample-size data

Prototype search for a nearest neighbor classifier by a genetic algorithm

Classifier ensemble optimization for gender classification using Genetic Algorithm

Research on strip surface defect classifier used RBF neural networks based on PCA

Time Consuming Numerical Model Calibration Using Genetic Algorithm (GA), 1-Nearest Neighbor (1NN) Classifier and Principal Component Analysis (PCA)

The Guelph Darwin Project: the evolution of neural networks by genetic algorithms

Evolution of fuzzy nearest neighbor neural networks

Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification

Optimizing Linear and Quadratic Data Transformations for Classification Tasks

Classification of traditional Chinese medicine by nearest-neighbour classifier and genetic algorithm

Similar Documents

Classifier for chinese traditional medicine with high-dimensional and small sample-size data

Prototype search for a nearest neighbor classifier by a genetic algorithm

Classifier ensemble optimization for gender classification using Genetic Algorithm

Research on strip surface defect classifier used RBF neural networks based on PCA

Time Consuming Numerical Model Calibration Using Genetic Algorithm (GA), 1-Nearest Neighbor (1NN) Classifier and Principal Component Analysis (PCA)

The Guelph Darwin Project: the evolution of neural networks by genetic algorithms

Evolution of fuzzy nearest neighbor neural networks

Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification

Optimizing Linear and Quadratic Data Transformations for Classification Tasks

Classification of traditional Chinese medicine by nearest-neighbour classifier and genetic algorithm