Keyword: neural networks

Found 847 papers in total
A modified elastic net algorithm for traveling salesam problem
A modified elastic net algorithm for traveling salesam problem
2005,
The modified elastic net algorithm for finding solutions to the traveling salesman...
Performance analysis of distributed solution approaches in simulation-based optimization
Performance analysis of distributed solution approaches in simulation-based optimization
2005,
Applying computationally expensive simulations in design or process optimization...
A new data classifying method based on a combination of neural networks and decision trees
A new data classifying method based on a combination of neural networks and decision trees
2005,
This paper presents a new data classifying method based on a combination of neural...
Forecasting chlorine residuals in a water distribution system using a general regression neural network
Forecasting chlorine residuals in a water distribution system using a general regression neural network
2006,
In a water distribution system (WDS), chlorine disinfection is important in preventing...
Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods
Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods
2006,
Drinking water contaminated by micro-organisms can be a major risk to public health....
A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction
A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction
2006,
Knowledge extraction from artificial neural network weights is a developing and...
Applications of artificial neural networks in integrated water management: fiction or future?
Applications of artificial neural networks in integrated water management: fiction or future?
2005,
An Artificial Neural Network (ANN) is nowadays recognized as a very promising tool for...
Primal–dual solution for the linear programming problems using neural networks
Primal–dual solution for the linear programming problems using neural networks
2005,
In this paper we represent two new methods for the solution of canonical form linear...
A new nonlinear neural network for solving quadratic programming problems
A new nonlinear neural network for solving quadratic programming problems
2005,
This paper presents a new recurrent neural network for solving quadratic programming...
Numerical solutions for constrained quadratic problems using high-performance neural networks
Numerical solutions for constrained quadratic problems using high-performance neural networks
2005,
Two new classes of neural networks for solving constrained quadratic programming...
Hybrid artificial neural networks for efficient valuation of real options and financial derivatives
Hybrid artificial neural networks for efficient valuation of real options and financial derivatives
2005,
A hybrid valuation methodology is proposed and tested for improving the efficiency of...
Performance evaluation for mechanical products based on fuzzy neural networks
Performance evaluation for mechanical products based on fuzzy neural networks
2005,
In order to make the weight factors in fuzzy evaluation accord with the observations,...
An artificial neural network for modeling reliability, availability and maintainability of a repairable system
An artificial neural network for modeling reliability, availability and maintainability of a repairable system
2006,
The paper explores the application of artificial neural networks to model the...
Heuristic approach for minimizing the projection error in the integrated mapping
Heuristic approach for minimizing the projection error in the integrated mapping
2006,
In this paper, we have developed and examined a heuristic approach for minimizing the...
A hybrid method for solving stochastic job shop scheduling problems
A hybrid method for solving stochastic job shop scheduling problems
2005,
This paper presents a nonlinear mathematical programming model for a stochastic job...
Predicting project performance through neural networks
Predicting project performance through neural networks
2006,
Successful project delivery of construction projects depends on many factors. With...
Multi-objective optimization of the coal combustion performance with artificial neural networks and genetic algorithms
Multi-objective optimization of the coal combustion performance with artificial neural networks and genetic algorithms
2005,
The present work introduces an approach to predict the nitrogen oxides (NO x )...
Production quantity allocation for order fulfilment in the supply chain: a neural network based approach
Production quantity allocation for order fulfilment in the supply chain: a neural network based approach
2006,
In the current global business environment, it is very important to know how to...
Three-stage prediction of protein β-sheets by neural networks, alignments and graph algorithms
Three-stage prediction of protein β-sheets by neural networks, alignments and graph algorithms
2005,
Motivation: Protein β-sheets play a fundamental role in protein structure,...
Short-term hourly traffic forecasts using Hong Kong annual traffic census
Short-term hourly traffic forecasts using Hong Kong annual traffic census
2006,
The need for acquiring the current-year traffic data is a problem for transport...
Dynamic programming–neural network real-time traffic adaptive signal control algorithm
Dynamic programming–neural network real-time traffic adaptive signal control algorithm
2006,
In this paper, an ‘intelligent’ isolated intersection control system was...
Model selection in neural networks: Some difficulties
Model selection in neural networks: Some difficulties
2006,
This paper considers two related issues regarding feedforward Neural Networks (NNs)....
Neuronal networks searching equilibrium for a dynamic economic model
Neuronal networks searching equilibrium for a dynamic economic model
1997,
This implementation searches the convergence properties of deterministic recurrent...
Neural and fuzzy models for economic forecasting. An econometric view and some practical experience
Neural and fuzzy models for economic forecasting. An econometric view and some practical experience
2000,
In this paper the new modelling techniques (neural networks, fuzzy systems, hybrid...
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