BPNN-hippoamy Algorithm for Statistical Features Classification
نویسندگان
چکیده
منابع مشابه
Classification of encrypted traffic for applications based on statistical features
Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
متن کاملStatistical geometrical features for texture classification
This paper proposes a novel set of 16 features based on the statistics of geometrical attributes of connected regions in a sequence of binary images obtained from a texture image. Systematic comparison using all the Brodatz textures shows that the new set achieves a higher correct classification rate than the well-known Statistical Gray Level Dependence Matrix method, the recently proposed Stat...
متن کاملA Novel Semi Supervised Algorithm for Text Classification Using BPNN by Active Search
Demand of Text Classification is increasing with the evolution of huge amount of text data available in internet, news, institutes , To make an effective text classifier we need large amount of labeled data in the form of training samples, to get labeled data is not only expensive but also time consuming, tedious task, whereas unlabelled data is easily available & inexpensive. This paper propos...
متن کاملFeatures Extraction Algorithm from Sgml for Classification
The basic phases in text categorization include preprocessing features, extracting relevant features against the features in a database, and finally categorizing a set of documents into predefined categories. Most of the researches in text categorization are focusing more on the development of algorithms and computer techniques. An algorithm for pre-processing features is seem to be like a "bla...
متن کاملA NLOS Localization Algorithm Based on BPNN
Artificial neural network (ANN) is a humanly constructed network which is based on the human brain neural network. BP neutral network (BPNN), as a typical forward ANN, can approximate any nonlinear continuous rational function. In this paper we use the BPNN to modify the Non-Line-of-Sight (NLOS) Time Difference of Arrival (TDOA) measurement value to make it closer to the Line-of-Sight (LOS) mea...
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: Indian Journal of Science and Technology
سال: 2015
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2015/v8i14/70503