Image segmentation is one of the analytical processes for digital image recognition, where this process divides into several unique regions based on homogeneous pixels. The grouping images colour, texture and shape features. Colour in processing very important because colour has many information humans can easily understand. various features, combining intensity grey (grayscale) binary (black w...

در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بار‌های تولید طراحی شده است. اهداف اصلی مدل، کمینه‌سازی هزینه‌‌های کل و حداکثر استفاده از منابع به‌منظور عادلانه شرایط عدم­قطعیت کنترل پارامتر‌های غیرقطعی روش برنامه‌ریزی فازی ‌شده نتایج نشان می‌دهد افزایش نرخ عدم‌قطعیت، می­یابد. ازآنجاکه ظرفیت کارخانه‌ها ثابت است، مقدار تقاضا، هر کارخانه نیز می­ی...

We present the results of several unsupervised algorithms tested on the MNIST database as well as techniques we used to improve the classification accuracy. We find that spiking neural network outperforms kmeans clustering and reaches the same level as the supervised SVM. We then discuss several inherent issues of unsupervised methods for the handwritten digit classfication problem and propose ...

This paper presents a modified RBF network with additional linear input connections together with a hybrid training algorithm. The training algorithm is based on kmeans clustering with square root updating method and Givens least squares algorithm with additional linear input connections features. Two real data sets have been used to demonstrate the capability of the proposed RBF network archit...

Websites contain a huge amount of time-critical data in highly unstructured and heterogeneous form. Information Extraction systems can extract relevant entities and relationships from these sites, and identify, classify and categorize them. In this paper, we present ClassMate, a complete system for extracting key course-related events from university course websites. ClassMate pipelines web dat...

As we know, kmeans method is a very effective algorithm of clustering. Its most powerful feature is the scalability and simplicity. However, the most disadvantage is that we must know the number of clusters in the first place, which is usually a difficult problem in practice. In this paper, we propose a new approach– peak-searching clustering– to realize clustering without given the number of c...

Cartoons are one type of illustration usually in a non-realistic or semi-realistic style. To make cartoon drawing manually requires good ability. So, not everyone can cartoons. This research proposes non-photorealistic rendering algorithm to create drawings automatically. The consists four phases. First, an image abstraction using bilateral filtering. Second, kmeans clustering for abstract quan...