Keyword: neural networks

Found 847 papers in total
Using least squares support vector machines for the airframe structures manufacturing cost estimation
Using least squares support vector machines for the airframe structures manufacturing cost estimation
2011,
Accurate cost estimation plays a significant role in industrial product development...
Precipitation Forecast Using Artificial Neural Networks in Specific Regions of Greece
Precipitation Forecast Using Artificial Neural Networks in Specific Regions of Greece
2011,
In recent years, significant changes in precipitation regimes have been observed and...
Predicting corporate bankruptcy using a self‐organizing map: An empirical study to improve the forecasting horizon of a financial failure model
Predicting corporate bankruptcy using a self‐organizing map: An empirical study to improve the forecasting horizon of a financial failure model
2011,
We design a financial failure model with a Kohonen map. We compare this model to...
An improved training algorithm for feedforward neural network learning based on terminal attractors
An improved training algorithm for feedforward neural network learning based on terminal attractors
2011,
In this paper, an improved training algorithm based on the terminal attractor concept...
Identifying Prominent Explanatory Variables for Water Demand Prediction Using Artificial Neural Networks: A Case Study of Bangkok
Identifying Prominent Explanatory Variables for Water Demand Prediction Using Artificial Neural Networks: A Case Study of Bangkok
2011,
The water demand of a city is a complex and non linear function of climatic,...
Application of ANN‐Based Streamflow Forecasting Model for Agricultural Water Management in the Awash River Basin, Ethiopia
Application of ANN‐Based Streamflow Forecasting Model for Agricultural Water Management in the Awash River Basin, Ethiopia
2011,
This paper presents the application of a long‐term streamflow forecasting model...
ANN for Hybrid Energy System Evaluation: Methodology and WSS Case Study
ANN for Hybrid Energy System Evaluation: Methodology and WSS Case Study
2011,
Water Supply Systems (WSS) are large consumers of energy mainly used in pumping...
Bus arrival time prediction at bus stop with multiple routes
Bus arrival time prediction at bus stop with multiple routes
2011,
Provision of accurate bus arrival information is vital to passengers for reducing...
A genetic algorithm‐based method for improving quality of travel time prediction intervals
A genetic algorithm‐based method for improving quality of travel time prediction intervals
2011,
The transportation literature is rich in the application of neural networks for travel...
Failure and reliability prediction by support vector machines regression of time series data
Failure and reliability prediction by support vector machines regression of time series data
2011,
Support Vector Machines (SVMs) are kernel‐based learning methods, which have...
Intelligent machine agent architecture for adaptive control optimization of manufacturing processes
Intelligent machine agent architecture for adaptive control optimization of manufacturing processes
2011,
Intelligent agents have been earmarked as the key enabling technology to provide the...
Municipal credit rating modelling by neural networks
Municipal credit rating modelling by neural networks
2011,
The paper presents the modelling possibilities of neural networks on a complex...
A hybrid SARIMA wavelet transform method for sales forecasting
A hybrid SARIMA wavelet transform method for sales forecasting
2011,
Time series forecasting, as an important tool in many decision support systems, has...
Comparative Evaluation of Genetic Programming and Neural Network as Potential Surrogate Models for Coastal Aquifer Management
Comparative Evaluation of Genetic Programming and Neural Network as Potential Surrogate Models for Coastal Aquifer Management
2011,
Determining the optimal rates of groundwater extraction for the sustainable use of...
Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation
Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation
2011,
A relatively new method of addressing different hydrological problems is the use of...
Multi-objective memetic algorithm: comparing artificial neural networks and pattern search filter method approaches
Multi-objective memetic algorithm: comparing artificial neural networks and pattern search filter method approaches
2011,
In this work, two methodologies to reduce the computation time of expensive...
Cognitive and self‐selective routing for sensor networks
Cognitive and self‐selective routing for sensor networks
2011,
New approaches to Quality-of-Service (QoS) routing in wireless sensor networks which...
Effort estimates through project complexity
Effort estimates through project complexity
2011,
This paper reports the results obtained from use of project complexity parameters in...
An ANN‐based auditor decision support system using Benford's law
An ANN‐based auditor decision support system using Benford's law
2011,
While there is a growing professional interest on the application of Benford's law and...
Reducing network and computation complexities in neural based real‐time scheduling scheme
Reducing network and computation complexities in neural based real‐time scheduling scheme
2011,
Multiprocessor real‐time scheduling is an important issue in many applications....
Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under‐researched Andean fruit
Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under‐researched Andean fruit
2011,
Every time a farmer plants and harvests a crop represents a unique event or...
Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
2011,
In the field of transportation, data analysis is probably the most important and...
Traffic flow evolution effects to nitrogen dioxides predictability in large metropolitan areas
Traffic flow evolution effects to nitrogen dioxides predictability in large metropolitan areas
2011,
A genetically‐optimized modular neural network is used to predict the temporal...
Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network
Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network
2011,
This paper presents an intelligent diagnosis method for a rolling element bearing; the...
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