نتایج جستجو برای: طبقهبندی کننده svm و knn
تعداد نتایج: 786526 فیلتر نتایج به سال:
In the conventional and relatively simple image processing techniques are most important task in the field of medical imaging. In this work to provide information about segmentation and classification methods that are very important for medical image processing. Ultrasound is unique in its ability to image patient anatomy and physiology in real time, providing an important, rapid and non-invasi...
در این پژوهش تقویت باریکه لیزر تپی فمتوثانیه Ti:sapphire کننده بازتولیدی با آرایش هندسی Z براساس روش تپ چیرپ بررسی شده است. برای انتقال ورودی اولیه به داخل کاواک و استخراج از دو سلول پاکل استفاده زمان شکل‌گیری برحسب انرژی دمش مطالعه روند تحول مورد قرار گرفته مدت تولید بدون حضور 80 نانوثانیه فرایند 38 نرخ تکرار 10 هرتز طول موج مرکزی 800 نانومتر بیشینه 2 میلی‌ژول بعد 17 رفت برگشت 15 میلی ژول 532...
In suspicion, characteristic dialect handling is an exceptionally brilliant strategy for the human-PC interface. Regular dialect grateful is once in a while alludes to as an Artificial Intelligence-whole issue since normal dialect distinguishing proof appears to include wide learning about the outside world and the capacity to control it. NLP has vital have regular qualities with the field of c...
Abstract—Tumor classification is a key area of research in the field of bioinformatics. Microarray technology is commonly used in the study of disease diagnosis using gene expression levels. The main drawback of gene expression data is that it contains thousands of genes and a very few samples. Feature selection methods are used to select the informative genes from the microarray. These methods...
An investigation has been conducted on two well known similarity-based learning approaches to text categorization: the k-nearest neighbor (k-NN) classifier and the Rocchio classifier. After identifying the weakness and strength of each technique, a new classifier called the kNN model-based classifier (kNNModel) has been proposed. It combines the strength of both k-NN and Rocchio. A text categor...
An electronic nose (e-nose) was used to characterize sesame oils processed by three different methods (hot-pressed, cold-pressed, and refined), as well as blends of the sesame oils and soybean oil. Seven classification and prediction methods, namely PCA, LDA, PLS, KNN, SVM, LASSO and RF, were used to analyze the e-nose data. The classification accuracy and MAUC were employed to evaluate the per...
Accurate solar photovoltaic (PV) power forecasting is an essential tool for mitigating the negative effects caused by the uncertainty of PV output power in systems with high penetration levels of solar PV generation. Weather classification based modeling is an effective way to increase the accuracy of day-ahead short-term (DAST) solar PV power forecasting because PV output power is strongly dep...
The K-nearest neighbor (KNN) decision rule has been a ubiquitous classification tool with good scalability. Past experience has shown that the optimal choice of K depends upon the data, making it laborious to tune the parameter for different applications. We introduce a new metric that measures the informativeness of objects to be classified. When applied as a query-based distance metric to mea...
Preprocessing is one of the main components in a conventional document categorization (DC) framework. This paper aims to highlight the effect of preprocessing tasks on the efficiency of the Arabic DC system. In this study, three classification techniques are used, namely, naive Bayes (NB), k-nearest neighbor (KNN), and support vector machine (SVM). Experimental analysis on Arabic datasets revea...
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