Keyword: neural networks

Found 847 papers in total
Parametric distance functions vs. nonparametric neural networks for estimating road travel distances
Parametric distance functions vs. nonparametric neural networks for estimating road travel distances
1996,
Measuring and storing actual road travel distances between the points of a region is...
Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem
Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem
1996,
This paper considers the problem of optimally sequencing different car models along an...
Parallel modelling and neural networks: An overview for transportation/land use systems
Parallel modelling and neural networks: An overview for transportation/land use systems
1997,
We provide in this conceptual paper an overview of a parallel transportation/land use...
Evaluating public transport efficiency with neural network models
Evaluating public transport efficiency with neural network models
1997,
This paper is concerned with measuring performance of public transport services based...
Adaptation to the driver as part of a driver monitoring and warning system
Adaptation to the driver as part of a driver monitoring and warning system
1997,
A driver monitoring and warning system called DAISY (Driver AssIsting SYstem) is...
Freeway ramp metering using artificial neural networks
Freeway ramp metering using artificial neural networks
1997,
This paper proposes a nonlinear approach for designing local traffic-responsive ramp...
An urban traffic flow model integrating neural networks
An urban traffic flow model integrating neural networks
1997,
Over the past few years, artificial intelligence techniques have played important...
Development and evaluation of neural network freeway incident detection models using field data
Development and evaluation of neural network freeway incident detection models using field data
1997,
This paper discusses a multi-layer feedforward (MLF) neural network incident detection...
A neural network application to subcontractor rating in construction firms
A neural network application to subcontractor rating in construction firms
1998,
In construction companies, subcontractor rating, due to its intrinsic ambiguity and...
A parallel genetic-neuro scheduler for job-shop scheduling problems
A parallel genetic-neuro scheduler for job-shop scheduling problems
1997,
Despite relentless efforts on developing new approaches, there are still large gaps...
Selection of vehicle routing heuristic using neural networks
Selection of vehicle routing heuristic using neural networks
1997,
Due to its combinatorial structure, the vehicle routing problem has been attacked by...
Integrating arbitrage pricing theory and artificial neural networks to support portfolio management
Integrating arbitrage pricing theory and artificial neural networks to support portfolio management
1996,
The paper presents an innovative approach that integrates the arbitrage pricing theory...
The effect of training data set size and the complexity of the separation function on neural network classification capability: The two-group case
The effect of training data set size and the complexity of the separation function on neural network classification capability: The two-group case
1997,
Classification among groups is a crucial problem in managerial decision making....
A new algorithm for pure 0–1 linear programs with inequality constraints
A new algorithm for pure 0–1 linear programs with inequality constraints
1996,
More and more attention has been paid to the Hybrid Neural Network (HNN) algorithm...
A neural network approach to facility layout problems
A neural network approach to facility layout problems
1996,
A near-optimum parallel algorithm for solving facility layout problems is presented in...
A comparison of linear regression and neural network methods for predicting excess returns on large stocks
A comparison of linear regression and neural network methods for predicting excess returns on large stocks
1998,
Recent studies have shown that there is predictable variation in returns of financial...
A neural network model to predict long-run operating performance of new ventures
A neural network model to predict long-run operating performance of new ventures
1998,
The production of long-run operating performance of new ventures, known as Initial...
An objective-guided ortho-synapse Hopfield network approach to machine grouping problems
An objective-guided ortho-synapse Hopfield network approach to machine grouping problems
1997,
This paper reports an ortho-synapse Hopfield network (OSHN) for solving machine...
A neuro-based optimization algorithm for three-dimensional cylindric puzzles
A neuro-based optimization algorithm for three-dimensional cylindric puzzles
1997,
This paper describes a neuro-based optimization algorithm for three-dimensional (3-D)...
An ontogenic neural network for bankruptcy classification
An ontogenic neural network for bankruptcy classification
1996,
Neural networks are now accepted as a viable alternative to more traditional and...
Credit-scoring models in the credit-union environment using neural networks and genetic algorithms
Credit-scoring models in the credit-union environment using neural networks and genetic algorithms
1997,
The purpose of the paper is to investigate the predictive power of feedforward neural...
Towards integrating rule-based expert systems and neural networks
Towards integrating rule-based expert systems and neural networks
1996,
This research explores a new approach to integrate neural networks and expert systems....
A recurrent neural-network for solving the shortest-path problem
A recurrent neural-network for solving the shortest-path problem
1996,
The shortest path problem is the classical combinatorial optimization problem arising...
Scheduling workforce and workflow in a high volume factory
Scheduling workforce and workflow in a high volume factory
1997,
We define a high volume factory to be a connected network of workstations, at which...
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