Keyword: forecasting: applications

Found 1283 papers in total
Neural network ensemble strategies for financial decision application
Neural network ensemble strategies for financial decision application
2005,
Considerable research effort has been expended to identify more accurate models for...
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
2005,
We propose a threshold-varying artificial neural network (TV-ANN) approach for solving...
Artificial intelligent based time series forecasting of stock prices using digital filters
Artificial intelligent based time series forecasting of stock prices using digital filters
2002,
The aim of the paper is the analysis of the sequential characteristics of the Athens...
Behavioristic analysis and comparative evaluation of intelligent methodologies for short-term stock price forecasting
Behavioristic analysis and comparative evaluation of intelligent methodologies for short-term stock price forecasting
2002,
Stock price forecasting has been in the center of interest of the stock market...
Improving pilot mental workload classification through feature exploitation and combination: a feasibility study
Improving pilot mental workload classification through feature exploitation and combination: a feasibility study
2005,
Predicting high pilot mental workload is important to the United States Air Force...
Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case
Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case
2005,
A comparative study of the performance of a number of classificatory devices, both...
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms
2005,
This paper examines the potential of a neural network coupled with genetic algorithms...
Adaptive age replacement strategies based on nonparametric predictive inference
Adaptive age replacement strategies based on nonparametric predictive inference
2004,
We consider an age replacement problem using nonparametric predictive inference (NPI)...
Groundwater level forecasting in a shallow aquifer using artificial neural network approach
Groundwater level forecasting in a shallow aquifer using artificial neural network approach
2006,
Forecasting the ground water level fluctuations is an important requirement for...
Estimation in supply chain inventory management
Estimation in supply chain inventory management
2006,
Differences in estimation or forecasting procedures could produce dramatically...
A prelaunch diffusion model for evaluating market defense strategies
A prelaunch diffusion model for evaluating market defense strategies
2005,
This paper describes the development and application of a marketing model to help set...
CHAN4CAST: A multichannel, multiregion sales forecasting model and decision support system for consumer packaged goods
CHAN4CAST: A multichannel, multiregion sales forecasting model and decision support system for consumer packaged goods
2005,
We discuss the development and implementation of CHAN4CAST, sales forecasting model,...
Prediction in marketing using the support vector machine
Prediction in marketing using the support vector machine
2005,
Many marketing problems require accurately predicting the outcome of a process or the...
“Counting your customers” the easy way: An alternative to the Pareto/NBD model
“Counting your customers” the easy way: An alternative to the Pareto/NBD model
2005,
Today's managers are very interested in predicting the future purchasing patterns of...
Competitive reactions to advertising and promotion attacks
Competitive reactions to advertising and promotion attacks
2005,
How do competitors react to each other's price-promotion and advertising attacks? What...
Testing and incorporating seasonal structures into demand models for fruit
Testing and incorporating seasonal structures into demand models for fruit
2005,
It is widely recognized that purchases of perishable agricultural products are...
Parts remanufacturing in the oilfield industry
Parts remanufacturing in the oilfield industry
2005,
Purpose – Provide a new technique for forecasting parts usage in remanufacturing...
Improving supply-chain collaboration by linking intelligent agents to CPFR
Improving supply-chain collaboration by linking intelligent agents to CPFR
2005,
The standpoint of this research lies in the study of the Collaborative Planning...
Citibank models credit risk on hybrid mortgage loans in Taiwan
Citibank models credit risk on hybrid mortgage loans in Taiwan
2005,
A new type of hybrid loan in Taiwan consists of a traditional residential mortgage...
Hedging inventory risk through market instruments
Hedging inventory risk through market instruments
2005,
We address the problem of hedging inventory risk for a short life cycle or seasonal...
Coincident and leading indicators for the euro area: A frequency band approach
Coincident and leading indicators for the euro area: A frequency band approach
2005,
The aim of this paper is to build monthly coincident and leading composite indicators...
Measuring and predicting turning points using a dynamic bi-factor model
Measuring and predicting turning points using a dynamic bi-factor model
2005,
In this paper a dynamic bi-factor model with Markov-switching is developed to measure...
Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models
Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models
2005,
Fertility forecasting is the weak point of stochastic population forecasts. Changing...
Large neural networks for electricity load forecasting: Are they overfitted?
Large neural networks for electricity load forecasting: Are they overfitted?
2005,
Neural networks have apparently enjoyed considerable success in practice for...
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