Modelling public transport trips by radial basis function neural networks
نویسندگان
چکیده
منابع مشابه
Long-Term Peak Demand Forecasting by Using Radial Basis Function Neural Networks
Prediction of peak loads in Iran up to year 2011 is discussed using the Radial Basis Function Networks (RBFNs). In this study, total system load forecast reflecting the current and future trends is carried out for global grid of Iran. Predictions were done for target years 2007 to 2011 respectively. Unlike short-term load forecasting, long-term load forecasting is mainly affected by economy...
متن کاملOn the use of back propagation and radial basis function neural networks in surface roughness prediction
Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicability on the same problem. More specifically, feed-forward artificial neural networks are trained with three different back propagation algorithms, ...
متن کاملRobust radial basis function neural networks
Function approximation has been found in many applications. The radial basis function (RBF) network is one approach which has shown a great promise in this sort of problems because of its faster learning capacity. A traditional RBF network takes Gaussian functions as its basis functions and adopts the least-squares criterion as the objective function, However, it still suffers from two major pr...
متن کاملModelling of Web Domain Visits by Radial Basis Function Neural Networks and Support Vector Machine Regression
The paper presents basic notions of web mining, radial basis function (RBF) neural networks and -insensitive support vector machine regression ( SVR) for the prediction of a time series for the website of the University of Pardubice. The model includes pre-processing time series, design RBF neural networks and -SVR structures, comparison of the results and time series prediction. The prediction...
متن کاملA Fractal Radial Basis Function Neural Net for Modelling
A new recursively self-constructing fractal learning algorithm for an artificial neural network is presented. The network architecture is based on a tree-like structure of Radial Basis Function (RBF) networks. This paper examines some of the problems with RBF nets, and suggests a possible solution. Neurons in RBF nets have local receptive fields. The new learning algorithm ‘grows’ new sub-netwo...
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: Mathematical and Computer Modelling
سال: 2007
ISSN: 0895-7177
DOI: 10.1016/j.mcm.2006.07.002