Telephone Traffic Forecasting Based on Grey Neural Network Optimized by Improved Particle Swarm Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Telephone Traffic Forecasting Based on Grey Neural Network Optimized by Improved Particle Swarm Optimization Algorithm
To solve the problem that the parameters in grey neural network (GNN) are difficult to determine, the improved Particle Swarm Optimization (IPSO) algorithm is employed to search the optimums by the introduction of a threshold of velocity. When the particle velocity is less than the threshold, an accelerated momentum is applied on the particle to reinitialize the particle velocity and position. ...
متن کاملShort-term Traffic Forecasting Based on Grey Neural Network with Particle Swarm Optimization
An accurate and stable short-term traffic forecasting model is very important for intelligent transportation systems (ITS). The forecasting results can be used to relieve traffic congestion and improve the mobility of transportation. This paper proposes a new hybrid model of grey system theory and neural networks with particle swarm optimization, namely, GNN-PSO. The proposed hybrid model can e...
متن کاملA BP Neural Network Based on Improved Particle Swarm Optimization and its Application in Reliability Forecasting
The basic Particle Swarm Optimization (PSO) algorithm and its principle have been introduced, the Particle Swarm Optimization has low accelerate speed and can be easy to fall into local extreme value, so the Particle Swarm Optimization based on the improved inertia weight is presented. This method means using nonlinear decreasing weight factor to change the fundamental ways of PSO. To allow ful...
متن کاملZ- Source Inverter Based On Sample Boost Optimized With Particle Swarm Optimization (PSO) Algorithm
In this paper optimal torque control (OTC) of stand-alone variable-speed small-scale wind turbine equipped with a permanent magnet synchronous generator and a switch- mode rectifier is presented. It is shown that with OTC method in standalone configuration, power coefficient could be reached to its maximum possible value, i.e. 0.48. An appropriate control algorithm based on turbine characterist...
متن کاملResearch of BP Neural Network based on Improved Particle Swarm Optimization Algorithm
The paper proposes an approach to optimize the connection weights and network structure of BP neural network (BPNN) which based on improved particle swarm optimization (PSO) algorithm. For each network structure, the algorithm generates a series of particles which consist of connection weights and threshold values, and selects the best network structure according to the improved PSO algorithm. ...
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 Hybrid Information Technology
سال: 2015
ISSN: 1738-9968
DOI: 10.14257/ijhit.2015.8.1.01