Related references
Note: Only part of the references are listed.Prediction of corn price fluctuation based on multiple linear regression analysis model under big data
Yan Ge et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Forecasting monthly catfish (Ictalurus punctatus.) pond bank and feed prices
Mohammad R. Hasan et al.
AQUACULTURE ECONOMICS & MANAGEMENT (2019)
Prediction for hog prices based on similar sub-series search and support vector regression
Yiran Liu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
The antecedents of the consumer purchase intention: Sensitivity to price and involvement in organic product: Moderating role of product regional identity
Zohra Ghali-Zinoubi et al.
TRENDS IN FOOD SCIENCE & TECHNOLOGY (2019)
Who cares about local feed in local food products? Results from a consumer survey in Germany
Adriano Profeta et al.
BRITISH FOOD JOURNAL (2019)
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China
Tao Xiong et al.
NEUROCOMPUTING (2018)
A combined neural network model for commodity price forecasting with SSA
Jue Wang et al.
SOFT COMPUTING (2018)
Prediction of soybean price in China using QR-RBF neural network model
Dongqing Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Research on agricultural product price forecasting model based on improved BP neural network
Yanfeng Yu et al.
Journal of Ambient Intelligence and Humanized Computing (2018)
A Novel Agricultural Commodity Price Forecasting Model Based on Fuzzy Information Granulation and MEA-SVM Model
Yongli Zhang et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2018)
Research on Hybrid Model of Garlic Short-term Price Forecasting based on Big Data
Baojia Wang et al.
CMC-COMPUTERS MATERIALS & CONTINUA (2018)
An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation
Tianhua Liu et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2017)
A Precise Positioning Method for a Puncture Robot Based on a PSO-Optimized BP Neural Network Algorithm
Guanwu Jiang et al.
APPLIED SCIENCES-BASEL (2017)
Performance Analysis of Four Decomposition-Ensemble Models for One-Day-Ahead Agricultural Commodity Futures Price Forecasting
Deyun Wang et al.
ALGORITHMS (2017)
An alternative method for forecasting price volatility by combining models
Bishal Gurung et al.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2017)
Multivariate analysis and neural networks application to price forecasting in the Brazilian agricultural market
Carlos Alberto Orge Pinheiro et al.
CIENCIA RURAL (2017)
Assessing the table grape supply chain performance in China - a value chain analysis perspective
Lei Deng et al.
BRITISH FOOD JOURNAL (2016)
Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India
Girish K. Jha et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Prediction Model of Weekly Retail Price for Eggs Based on Chaotic Neural Network
Li Zhe-min et al.
JOURNAL OF INTEGRATIVE AGRICULTURE (2013)
Masking of volatility by seasonal adjustment methods
Aziz Hayat et al.
ECONOMIC MODELLING (2013)
A wavelet decomposition approach to crude oil price and exchange rate dependence
Juan C. Reboredo et al.
ECONOMIC MODELLING (2013)
A new approach for crude oil price analysis based on Empirical Mode Decomposition
Xun Zhang et al.
ENERGY ECONOMICS (2008)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention
C Goh et al.
TOURISM MANAGEMENT (2002)