Traffic Flow Prediction Based on Artificial Life and RBF Nerual Network

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network

Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...

متن کامل

Usage of RBF Networks in prediction of network traffic

Prediction of future time series values is area of statistics and computer science research related to pattern recognition. Especially possibility of prediction of the future computer network traffic may be usable in detection of abnormal situations like DoS attacks or occurrence of problems with network infrastructure. The article is devoted to usage artificial neural networks, with radial bas...

متن کامل

Error Modeling in Distribution Network State Estimation Using RBF-Based Artificial Neural Network

State estimation is essential to access observable network models for online monitoring and analyzing of power systems. Due to the integration of distributed energy resources and new technologies, state estimation in distribution systems would be necessary. However, accurate input data are essential for an accurate estimation along with knowledge on the possible correlation between the real and...

متن کامل

End-point Temperature Prediction Based on Rbf Neural Network

An end-point temperature prediction model based on RBF neural network is developed to reduce the measuring cost and improve the measuring accuracy in a vacuum induction furnace. It can give reliable predictions of tapping time and temperature of molten steel in the first-round prediction. And the prediction accuracy can be improved by the error correction in the secondround prediction. 120 set ...

متن کامل

Prediction of Tourist Quantity Based on RBF Neural Network

Fractal property of the knowledge of supply chain is confirmed, and the concept of fractal integration is presented. And the knowledge of supply chain is fractal integrated by building modularization fractal knowledge integration network independent of the organization structure. The process of fractal integration of the knowledge is divided into five stages: acquisition, transition, applicatio...

متن کامل

ذخیره 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: Energy Procedia

سال: 2011

ISSN: 1876-6102

DOI: 10.1016/j.egypro.2011.10.386