Research on Traffic Identification Based on Multi Layer Perceptron
نویسندگان
چکیده
منابع مشابه
Research on Network Traffic Identification Based on Multi Layer Perceptron
In recent years, many machine learning methods have been used in network traffic identification.In order to improve the accuracy and solve some problems of network traffic identification, this paper presents a multi layer perceptron neural network-based method for network traffic identification, and parameters of multi-layer perceptron neural network are analyzed. Experimental results show that...
متن کاملAn Extension of Multi-Layer Perceptron Based on Layer-Topology
There are a lot of extensions made to the classic model of multi-layer perceptron (MLP). A notable amount of them has been designed to hasten the learning process without considering the quality of generalization. The paper proposes a new MLP extension based on exploiting topology of the input layer of the network. Experimental results show the extended model to improve upon generalization capa...
متن کاملAn Extension of Multi-Layer Perceptron Based on Layer-Topology
There are a lot of extensions made to the classic model of multi-layer perceptron (MLP). A notable amount of them has been designed to hasten the learning process without considering the quality of generalization. The paper proposes a new MLP extension based on exploiting topology of the input layer of the network. Experimental results show the extended model to improve upon generalization capa...
متن کاملMulti-layer Perceptron on Interval Data
We study in this paper several methods that allow one to use interval data as inputs for Multi-layer Perceptrons. We show that interesting results can be obtained by using together two methods: the extremal values method which is based on a complete description of intervals, and the simulation method which is based on a probabilistic understanding of intervals. Both methods can be easily implem...
متن کاملSelf-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture 423 Self-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture
In this paper, we introduce a new topology of Self-Organizing Polynomial Neural Networks (SOPNN) based on genetically optimized Multi-Layer Perceptron (MLP) and discuss its comprehensive design methodology involving mechanisms of genetic optimization. Let us recall that the design of the “conventional” SOPNN uses the extended Group Method of Data Handling (GMDH) technique to exploit polynomials...
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: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2014
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v12i1.5