Keyword: neural networks

Found 847 papers in total
A competitive neural network approach to multi-objective flexible manufacturing system scheduling
A competitive neural network approach to multi-objective flexible manufacturing system scheduling
1998,
The main contribution of this paper is the development of a multi-objective FMS...
Job-shop scheduling using neural networks
Job-shop scheduling using neural networks
1998,
Complete enumeration of all sequences to establish global optimality is not feasible...
A self-organising model for the travelling salesman problem
A self-organising model for the travelling salesman problem
1997,
This work describes a new algorithm, based on a self-organising neural network...
An example of simulation optimisation using a neural network metamodel: Finding the optimum number of kanbans in a manufacturing system
An example of simulation optimisation using a neural network metamodel: Finding the optimum number of kanbans in a manufacturing system
1997,
A method of finding the optimum solution for a stochastic discrete-event system is...
Portfolio optimization with a neural network implementation of the coherent market hypothesis
Portfolio optimization with a neural network implementation of the coherent market hypothesis
1997,
Capital market research seems to be widely governed by traditional static linear...
A comparison of neural networks and linear scoring models in the credit union environment
A comparison of neural networks and linear scoring models in the credit union environment
1996,
The purpose of the present paper is to explore the ability of neural networks such as...
N.E.W.S.: A model for the evaluation of non-life insurance companies
N.E.W.S.: A model for the evaluation of non-life insurance companies
1997,
This paper describes a model which can be used by the Dutch insurance supervisor to...
An action strategy generation framework for an on-line scheduling and control system in batch processes with neural networks
An action strategy generation framework for an on-line scheduling and control system in batch processes with neural networks
1997,
An on-line scheduling and control system in batch process management consists of three...
Least-hop path planning using neural networks
Least-hop path planning using neural networks
1997,
Recently, application of neural networks using their parallel processing feature has...
Application of traveling salesman problem for decision of optimal production sequence
Application of traveling salesman problem for decision of optimal production sequence
1997,
In the present study a reliable and structural decision system for production sequence...
Using case-based reasoning approach to the support of ill-structured decisions
Using case-based reasoning approach to the support of ill-structured decisions
1996,
Case-based reasoning is the most preferred method for problem solving and decision...
A neural network realization of a gradient method with a convolution integral by using neurons with ‘memory’ (inertial neurons)
A neural network realization of a gradient method with a convolution integral by using neurons with ‘memory’ (inertial neurons)
1998,
First, a new type of models for trajectory methods to solve optimization problems is...
A neural network parallel algorithm for minimum maximal matching problems
A neural network parallel algorithm for minimum maximal matching problems
1998,
For a given graph G ( V, E ), a subset M of E is called a maximal matching of G if no...
A learning algorithm for chaotic dynamical systems which solve optimization problems
A learning algorithm for chaotic dynamical systems which solve optimization problems
1998,
A learning algorithm is introduced for chaotic dynamical systems which solve nonlinear...
Analyzing mathematical models with inductive learning networks
Analyzing mathematical models with inductive learning networks
1996,
After building and validating a mathematical model, the decision maker frequently...
A neural network approach to solve the stable matching problem
A neural network approach to solve the stable matching problem
1996,
In this paper two types of neurons, the maximum selection neuron and the maximum...
An adaptive, multiple restarts neural network algorithm for graph coloring
An adaptive, multiple restarts neural network algorithm for graph coloring
1996,
The graph coloring problem is amongst the most difficult ones in combinatorial...
A new neural network for solving linear programming problems
A new neural network for solving linear programming problems
1996,
We propose and analyse a new class of neural network models for solving linear...
A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks
A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks
1996,
One impediment to the use of neural networks in pattern classification problems is the...
Massively parallel analog tabu search using neural networks applied to simple plant location problems
Massively parallel analog tabu search using neural networks applied to simple plant location problems
1996,
Neural networks and tabu search are two very significant techniques which have emerged...
Forecasting with artificial neural networks: The state of the art
Forecasting with artificial neural networks: The state of the art
1998,
Interest in using artificial neural networks (ANNs) for forecasting has led to a...
Comparison of neural and heuristic methods for a timetabling problem
Comparison of neural and heuristic methods for a timetabling problem
1996,
We compare the performance of an annealed neural network to that of graph colouring...
Using neural networks for trauma outcome evaluation
Using neural networks for trauma outcome evaluation
1996,
The development of effective methods for predicting the survival or mortality of...
Comparative performance of the FSCL neural net and K-means algorithm for market segmentation
Comparative performance of the FSCL neural net and K-means algorithm for market segmentation
1996,
Given the success of neural networks in a variety of applications in engineering, such...
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