Keyword: neural networks

Found 847 papers in total
Neural networks and reinforcement learning in control of water systems
Neural networks and reinforcement learning in control of water systems
2003,
In dynamic real-time control (RTC) of regional water systems, a multicriteria...
Time-series prediction using adaptive neuro-fuzzy networks
Time-series prediction using adaptive neuro-fuzzy networks
2004,
In this paper, we propose an Adaptive Neuro-Fuzzy Network (ANFN) to deal with...
A neural network application in personnel scheduling
A neural network application in personnel scheduling
2004,
In this paper, we present and evaluate a neural network model for solving a typical...
Feasibility and robustness of transiently chaotic neural networks applied to the cell formation problem
Feasibility and robustness of transiently chaotic neural networks applied to the cell formation problem
2004,
Cell formation is a key issue in the design of cellular manufacturing systems....
Parameter setting of the Fuzzy Adaptive Resource Therapy neural network to part–machine cell formation problem
Parameter setting of the Fuzzy Adaptive Resource Therapy neural network to part–machine cell formation problem
2004,
The first step in cellular manufacturing system applications is the solution of the...
Applying artificial neural networks and virtual experimental design to quality improvement of two industrial processes
Applying artificial neural networks and virtual experimental design to quality improvement of two industrial processes
2004,
Artificial neural networks (ANNs) are powerful tools to model the non-linear...
Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme
Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme
2004,
The main purpose of this paper is twofold: (1) to present a neural-network based...
An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters
An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters
2004,
Statistical process control (SPC) techniques have traditionally been used to identify...
Regression neural network for error correction in foreign exchange forecasting and trading
Regression neural network for error correction in foreign exchange forecasting and trading
2004,
Predicting exchange rates has long been a concern in international finance as most...
Predicting the geo-temporal variations of crime and disorder
Predicting the geo-temporal variations of crime and disorder
2003,
Traditional police boundaries – precincts, patrol distracts, etc. – often...
River flow forecasting using recurrent neural networks
River flow forecasting using recurrent neural networks
2004,
Forecasting a hydrologic time series has been one of the most complicated tasks owing...
Utilization of forecasting accounting earning using artificial neural networks and case-based reasoning: Case study on manufacturing and banking industry
Utilization of forecasting accounting earning using artificial neural networks and case-based reasoning: Case study on manufacturing and banking industry
2003,
The financial statements purpose to provide useful information to decision-making...
Augmented neural networks for task scheduling
Augmented neural networks for task scheduling
2003,
We propose a new approach, called Augmented Neural Networks (Aug NN) for solving the...
Integrating simulation and optimisation in health care centre management
Integrating simulation and optimisation in health care centre management
2003,
In this paper we address an important design and management problem in a health care...
An interactive neural network-based approach for solving multiple criteria decision-making problems
An interactive neural network-based approach for solving multiple criteria decision-making problems
2003,
In this paper, a new approach for solving multiple critera decision-making (MCDM)...
Evaluating consumer loans using neural networks
Evaluating consumer loans using neural networks
2003,
A number of credit-scoring models that accurately classify consumer loan applications...
Explaining consumer choice through neural networks: The stacked generalization approach
Explaining consumer choice through neural networks: The stacked generalization approach
2003,
This paper uses neural network models and the ensemble techniques of stacked...
Optimum design of neural networks for a nonlinear flight control system
Optimum design of neural networks for a nonlinear flight control system
2004,
The architecture and weights of neural networks are optimized to design a nonlinear...
Optimization of thin quad flat pack molding process using neuro-fuzzy–Genetic algorithms approach
Optimization of thin quad flat pack molding process using neuro-fuzzy–Genetic algorithms approach
2003,
This paper focuses on an integrated optimization problem that involves multiple...
Optimal groundwater management in deltaic regions using simulated annealing and neural networks
Optimal groundwater management in deltaic regions using simulated annealing and neural networks
2003,
This study deals with the optimal management of groundwater in deltaic aquifer systems...
Acceleration of the convergence speed of evolutionary algorithms using multi-layer neural networks
Acceleration of the convergence speed of evolutionary algorithms using multi-layer neural networks
2003,
Despite the global optimization capability and low sensitivity to initial parameter...
A sequential approximation method using neural networks for engineering design optimization problems
A sequential approximation method using neural networks for engineering design optimization problems
2003,
There are three characteristics in engineering design optimization problems: (1) the...
Forecasting daily foreign exchange rates using genetically optimized neural networks
Forecasting daily foreign exchange rates using genetically optimized neural networks
2002,
Forecasting currency exchange rates is an important financial problem that has...
Makespan estimation in batch process industries: A comparison between regression analysis and neural networks
Makespan estimation in batch process industries: A comparison between regression analysis and neural networks
2003,
Batch processing is becoming more important in the process industries, because of the...
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