Keyword: neural networks

Found 847 papers in total
Graph-neural network approach in cellular manufacturing on the basis of a binary system
Graph-neural network approach in cellular manufacturing on the basis of a binary system
2001,
In the past several years, many studies have been carried out on cellular...
Adaptive and dynamic process planning using neural networks
Adaptive and dynamic process planning using neural networks
2001,
Although feature-based process planning plays a vital role in automating and...
Control chart pattern recognition using back propagation artificial neural networks
Control chart pattern recognition using back propagation artificial neural networks
2001,
In this paper, control chart pattern recognition using artificial neural networks is...
Realtime learning of doctrine and tactics using neural networks and combat simulations
Realtime learning of doctrine and tactics using neural networks and combat simulations
1997,
Limitations of the traditional Artificial Intelligence paradigm restrict its capacity...
An efficient mean field approach to the set covering problem
An efficient mean field approach to the set covering problem
2001,
A mean field feedback artificial neural network (ANN) algorithm is developed and...
User of counterpropagation neural networks to enhance the concurrent subspace optimization strategy
User of counterpropagation neural networks to enhance the concurrent subspace optimization strategy
2000,
The paper explores the use of artificial neural networks in a concurrent optimization...
Derivative free optimization in higher dimension
Derivative free optimization in higher dimension
2001,
Non-linear optimizations that do not require explicit or implicit derivative...
Time series forecasting with neural network ensembles: An application for exchange rate prediction
Time series forecasting with neural network ensembles: An application for exchange rate prediction
2001,
This paper investigates the use of neural network combining methods to improve time...
Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures
Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures
2001,
Motivated by the lack of evidence supporting the conjecture that the back-propagation...
Aggregating expert predictions in a networked environment
Aggregating expert predictions in a networked environment
2001,
This paper describes an approach for combining the classifications or predictions of n...
An analysis of the applications of neural networks in finance
An analysis of the applications of neural networks in finance
2001,
Over the last 10 years, neural networks have been increasingly applied to various...
An investigation of neural networks for linear time-series forecasting
An investigation of neural networks for linear time-series forecasting
2001,
This study examines the capability of neural networks for linear time-series...
An investigation of model selection criteria for neural network time series forecasting
An investigation of model selection criteria for neural network time series forecasting
2001,
Artificial neural networks (ANNs) have received more and more attention in time series...
Bootstrap re-sampling for unbalanced data in supervised learning
Bootstrap re-sampling for unbalanced data in supervised learning
2001,
This paper presents a technical framework to assess the impact of re-sampling on the...
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling
2001,
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling...
A Kohonen self-organizing map approach to addressing a multiple objective, mixed-model just in time sequencing system
A Kohonen self-organizing map approach to addressing a multiple objective, mixed-model just in time sequencing system
2001,
A technique is presented which addresses a JIT production-scheduling problem where two...
A hybrid method for hydroelectric generation scheduling using an artificial neural network
A hybrid method for hydroelectric generation scheduling using an artificial neural network
2000,
This paper presents a decomposition method for finding an optimal operating policy of...
Neural network with genetically evolved algorithms for stocks prediction
Neural network with genetically evolved algorithms for stocks prediction
2001,
Many studies have shown that artificial neural networks have the capability to learn...
Reinforcement learning in neurofuzzy traffic signal control
Reinforcement learning in neurofuzzy traffic signal control
2001,
A fuzzy traffic signal controller uses simple ‘if–then’ rules which...
An object-oriented neural network approach to short-term traffic forecasting
An object-oriented neural network approach to short-term traffic forecasting
2001,
This paper discusses an object-oriented neural network model that was developed for...
Simulation of stochastic elements in railway systems using self-learning processes
Simulation of stochastic elements in railway systems using self-learning processes
2001,
The railway traffic follows deterministic rules, whose selection and application...
Comparative analysis of artificial neural network models: Application in bankruptcy prediction
Comparative analysis of artificial neural network models: Application in bankruptcy prediction
2000,
This study compares the predictive performance of three neural network methods, namely...
Intelligent robotic assembly
Intelligent robotic assembly
2000,
It is normal when programming a robotic manipulator to provide the end effector's...
New advances in spatial network modelling: Towards evolutionary algorithms
New advances in spatial network modelling: Towards evolutionary algorithms
2001,
This paper discusses analytical advances in evolutionary methods with a view towards...
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