دانلود مقاله ISI انگلیسی شماره 52362
ترجمه فارسی عنوان مقاله

طبقه بندها بر اساس هوش ازدحامی

عنوان انگلیسی
Swarm intelligence based classifiers ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52362 2007 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of the Franklin Institute, Volume 344, Issue 5, August 2007, Pages 362–376

ترجمه کلمات کلیدی
ابرصفحات تصمیم؛ کنترل کننده فازی؛ بهینه سازی ازدحام ذرات ؛ الگو شناسی
کلمات کلیدی انگلیسی
Decision hyperplanes; Fuzzy controller; Particle swarm optimization; Pattern recognition
پیش نمایش مقاله
پیش نمایش مقاله  طبقه بندها بر اساس هوش ازدحامی

چکیده انگلیسی

A proposed particle swarm classifier has been integrated with the concept of intelligently controlling the search process of PSO to develop an efficient swarm intelligence based classifier, which is called intelligent particle swarm classifier (IPS-classifier). This classifier is described to find the decision hyperplanes to classify patterns of different classes in the feature space. An intelligent fuzzy controller is designed to improve the performance and efficiency of the proposed classifier by adapting three important parameters of PSO (inertia weight, cognitive parameter and social parameter). Three pattern recognition problems with different feature vector dimensions are used to demonstrate the effectiveness of the introduced classifier: Iris data classification, Wine data classification and radar targets classification from backscattered signals. The experimental results show that the performance of the IPS-classifier is comparable to or better than the k-nearest neighbor (k-NN) and multi-layer perceptron (MLP) classifiers, which are two conventional classifiers.