Multilayer Feedforward Neural Network for Internet Traffic Classification
نویسندگان
چکیده
منابع مشابه
A Multilayer Feedforward Neural Network Model for Digital Hardware Implementation
A design algorithm for two-layer feedforward neural networks (2FNNs) for discrete input-output mapping is proposed. In this algorithm, uniformly quantized discrete weights are used, which could be in the form of either onepowers-of-two (OPOT) values or sum-of-powers-of-two (SPOT) values. The simplified sigmoid activation functions (SSAFs) are used at hidden neurons and the step functions are us...
متن کاملOptimizing Feedforward Neural Network of Classification Problems
Many researchers have proposed pruning algorithms in numerous ways to optimize the network architecture (Castellano et al., 1997; Ahmmed et al., 2007; Henrique et al., 2000; Ponnapalli et al., 1999). Reed (1993) and Engelbrecht (2001) have given detailed surveys of pruning algorithms. Each algorithm has its own advantages and limitations. Some algorithms (Engelbrecht, 2001; Xing & Hu, 2009) pru...
متن کاملEvolutionary Design of Constructive Multilayer Feedforward Neural Network
This paper proposes an evolutionary design methodology of multilayer feedforward neural networks based on constructive approach. We elaborate an adjustable processing element as primitive neuron model. The neural layer can be constructed by assembling several neurons. The multilayer neural network can be finally constructed through cascading several neural layers. The constructive approach faci...
متن کاملClassification and Prediction in CRM Using Back Propagation Multilayer Feedforward Neural Network Approach
CRM “is a business strategy that aims to understand, anticipate and manage the needs of an organisation’s current and potential customers”. Customer Relationship Management provides a customer classification and prediction which is used for the optimization of business process. customers”. It is a “comprehensive approach which provides seamless integration of every area of business that touches...
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 Interactive Multimedia and Artificial Intelligence
سال: 2020
ISSN: 1989-1660
DOI: 10.9781/ijimai.2019.11.002