Research graph
References from Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads. Local targets link to admitted publications; unresolved targets remain external evidence.
Vehicle speed prediction for driver assistance systems
10.4271/2004-01-0170 · 2004 · External reference
Route-based control of hybrid electric vehicles
10.4271/2008-01-1315 · 2008 · External reference
Intelligent power management of plug-in hybrid electric vehicles, part II: real-time route based power management
10.1504/ijehv.2014.062806 · 2014 · External reference
Short-term traffic flow prediction using neuro-genetic algorithms
10.1080/713930748 · 2002 · External reference
Optimized and meta-optimized neural networks for short-term traffic flow prediction: a genetic approach
10.1016/j.trc.2005.04.007 · 2005 · External reference
Dynamic wavelet neural network model for traffic flow forecasting
10.1061/(asce)0733-947x(2005)131:10(771) · 2005 · External reference
Short-term freeway traffic flow prediction: Bayesian combined neural approach
10.1061/(asce)0733-947x(2006)132:2(114) · 2006 · External reference
Traffic Flow Forecasting Neural Networks Based on Exponential Smoothing Method
2011 · External reference
Neural-network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and Levenberg–Marquardt algorithm
10.1109/tits.2011.2174051 · 2012 · External reference
Vehicle's velocity time series prediction using neural network
2011 · External reference
Least learning machine and its experimental studies on regression capability
10.1016/j.asoc.2014.04.001 · 2014 · External reference
Unresolved reference
2012 · External reference
Unresolved reference
External reference
Application of sliding window technique for prediction of wind velocity time series
10.1007/s40095-014-0105-5 · 2014 · External reference
Extreme learning machine: theory and applications
10.1016/j.neucom.2005.12.126 · 2006 · External reference
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification
10.1016/j.neucom.2013.10.030 · 2014 · External reference
Optimal design of constraint engineering systems: application of mutable smart bee algorithm
10.1504/ijbic.2012.047241 · 2012 · External reference
Swarm intelligence in bio-informatics: methods and implementations for discovering patterns of multiple sequences
10.1166/jnn.2014.9196 · 2014 · External reference
Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm
10.1016/j.swevo.2013.01.002 · 2013 · External reference
Particel swarm optimization
1995 · External reference
Unresolved reference
2001 · External reference
Artificial bee colony
10.4249/scholarpedia.6915 · 2010 · External reference
Evolutionary extreme learning machine
10.1016/j.patcog.2005.03.028 · 2005 · External reference
Speed prediction of parallel hybrid electric vehicles based on fuzzy theory
2012 · External reference
Using artificial neural network to estimate average speed of vehicles in rural roads
2010 · External reference
Real time vehicle speed prediction using a neural network traffic model
2011 · External reference
25 years of time series forecasting
10.1016/j.ijforecast.2006.01.001 · 2006 · External reference
A state space framework for automatic forecasting using exponential smoothing methods
10.1016/s0169-2070(01)00110-8 · 2002 · External reference
Prediction intervals for exponential smoothing state space models
10.1002/for.938 · 2005 · External reference
Unresolved reference
2008 · External reference
