Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks.
Ibai LañaJavier Del SerManuel VélezIzaskun OregiPublished in: ICHSA (2017)
Keyphrases
- power generation
- multi layer
- short term
- parameter tuning
- traffic flow
- feature selection
- neural network
- long term
- wind power
- load forecasting
- neural nets
- forecasting model
- parameter settings
- model selection
- feed forward neural networks
- short term and long term
- stock market
- cellular automata
- medium term
- single layer
- feature extraction
- traffic light
- short term prediction
- back propagation
- arima model
- unsupervised learning
- activation function
- fault diagnosis
- support vector
- machine learning
- support vector machine
- artificial neural networks
- chaotic time series
- decision making