Email Classification Using Back Propagation Technique
نویسندگان
چکیده
منابع مشابه
Email Classification Using Back Propagation Technique
This paper proposes a new email classification model using a teaching process of multi-layer neural network to implement back propagation technique. Email has become one of the fastest and most efficient forms of communication. However, the increase of email users with high volume of email messages could lead to un-structured mail boxes, email congestion, email overload, unprioritised email mes...
متن کاملbreathomics for gastric cancer classification using back-propagation neural network
breathomics is the metabolomics study of exhaled air. it is a powerful emerging metabolomics research field that mainly focuses onhealth-related volatile organic compounds (vocs). since the quantity of these compounds varies with health status, breathomics assuresto deliver noninvasive diagnostic tools. thus, the main aim of breathomics is to discover patterns of vocs related to abnormal metabo...
متن کاملFeature Extraction and Classification of High Resolution Satellite Images using GLCM and Back Propagation Technique
Remote sensing data provides much essential and critical information for monitoring many applications such as image fusion, change detection and land cover classification. This paper proposed about the classification and extraction of spatial features in urban areas for high resolution multispectral satellite image. Spectral information is the foundation of remotely sensed image classification....
متن کاملBreathomics for Gastric Cancer Classification Using Back-propagation Neural Network
Breathomics is the metabolomics study of exhaled air. It is a powerful emerging metabolomics research field that mainly focuses on health-related volatile organic compounds (VOCs). Since the quantity of these compounds varies with health status, breathomics assures to deliver noninvasive diagnostic tools. Thus, the main aim of breathomics is to discover patterns of VOCs related to abnormal meta...
متن کاملPattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network
The objective of this paper is to a design of pattern classification model based on the back-propagation (BP) algorithm for decision support system. Standard BP model has done full connection of each node in the layers from input to output layers. Therefore, it takes a lot of computing time and iteration computing for good performance and less accepted error rate when we are doing some pattern ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Intelligent Computing Research
سال: 2010
ISSN: 2042-4655
DOI: 10.20533/ijicr.2042.4655.2010.0001