Nothing Special   »   [go: up one dir, main page]

Lu et al., 2009 - Google Patents

Traffic flow prediction based on wavelet analysis, genetic algorithm and artificial neural network

Lu et al., 2009

Document ID
6346756708398968038
Author
Lu B
Huang M
Publication year
Publication venue
2009 International conference on information engineering and computer science

External Links

Snippet

Based on the analysis of the characteristics of nonlinearity and strong interference of traffic flow due to the complex and uncertainty of time variance in real traffic system, a new approach has been proposed for traffic flow prediction. First, wavelet transform is used to …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Peng et al. Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
Tian Approach for short-term traffic flow prediction based on empirical mode decomposition and combination model fusion
Qiao et al. The forecasting of PM2. 5 using a hybrid model based on wavelet transform and an improved deep learning algorithm
Luo et al. Research and application of a novel hybrid decomposition-ensemble learning paradigm with error correction for daily PM10 forecasting
CN103295075B (en) A kind of ultra-short term load forecast and method for early warning
Fu et al. Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model
Tang et al. An optimal model based on multifactors for container throughput forecasting
CN108268935A (en) A kind of PM2.5 concentration values Forecasting Methodology and system based on sequential Recognition with Recurrent Neural Network
Liu et al. Short-term passenger flow prediction based on wavelet transform and kernel extreme learning machine
Huang et al. Effect of multi-scale decomposition on performance of neural networks in short-term traffic flow prediction
Zhou et al. Predicting energy consumption: A multiple decomposition-ensemble approach
Yu et al. A hybrid intelligent soft computing method for ammonia nitrogen prediction in aquaculture
Li et al. A novel dynamic ensemble air quality index forecasting system
CN115907070A (en) Regional carbon emission prediction method based on electric power data
Li et al. Decomposition-ANN methods for long-term discharge prediction based on Fisher’s ordered clustering with MESA
Lu et al. Traffic flow prediction based on wavelet analysis, genetic algorithm and artificial neural network
Yu et al. A Hybrid Model for Short‐Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short‐Term Memory Neural Network
Jiang et al. An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality
Liu et al. An enhanced hybrid ensemble deep learning approach for forecasting daily PM2. 5
CN114692692B (en) Snowfall recognition method based on microwave attenuation signal fusion kernel extreme learning machine
CN109359741A (en) A kind of wastewater treatment influent quality timing variations intelligent Forecasting
Liao et al. EMD-based model with cooperative training mechanism for tourism demand forecasting
Zamani et al. Wave height prediction at the Caspian Sea using a data-driven model and ensemble-based data assimilation methods
Heng et al. A hybrid forecasting model based on empirical mode decomposition and the cuckoo search algorithm: a case study for power load
Li et al. Is entropy an indicator of port traffic predictability? The evidence from Chinese ports