Time-series prediction using a local linear wavelet neural network

By Yuehui Chen, Bo Yang, Jiwen Dong. Neurocomputing, 2006

353 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/5127679a37abb1aae2c5cf4f5d1f7adc4dde3bee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chin-Teng Lin
2. Vahab Nekoukar
3. Yang-Yin Lin
4. Jyh-Yeong Chang
5. Mohammad Taghi Hamidi Beheshti

In Control and Systems Engineering

1. Chin-Teng Lin
2. Vahab Nekoukar
3. Yang-Yin Lin
4. Jyh-Yeong Chang
5. Mohammad Taghi Hamidi Beheshti

Citations in the corpus

• Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network (2013, methodology): “Box–Jenkins time series data (gas furnace data), which were recorded from a combustion process of a methane-air mixture [36], [42], describe the operation of a gas furnace process with a gas flow rate u(t) and a concentration of CO2 y(t).”
• Forecasting stock market indices using hybrid network (2009, background): “Key words: - Fuzzy rules; FLANN; FLNF; FLS; Indicators I. INTRODUCTION The crisis in financial market in the recent past has once again drawn our attention to the chaotic, volatile and random nature of the stock market.”
• A local linear radial basis function neural network for financial time-series forecasting (2010, methodology): “Some techniques were proposed to avoid this fact [2].”
• Neural-Network-Based Data Assimilation to Improve Numerical Ocean Wave Forecast (2016, neutral): “This network involves wavelet decomposition [24].”