Keyword: neural networks

Found 847 papers in total
Multireservoir Flood-Control Optimization with Neural-Based Linear Channel Level Routing Under Tidal Effects
Multireservoir Flood-Control Optimization with Neural-Based Linear Channel Level Routing Under Tidal Effects
2008,
In order to determine the optimal hourly releases from reservoirs under the estuary...
Study on water sharing in a multi‐reservoir system using a dynamic programming‐neural network model
Study on water sharing in a multi‐reservoir system using a dynamic programming‐neural network model
2002,
A dynamic programming–based neural network model is developed for analysing the...
Prediction of nitrate release from polymer-coated fertilizers using an artificial neural network model
Prediction of nitrate release from polymer-coated fertilizers using an artificial neural network model
2008,
Polymer-coated fertilizers (PCF) are currently the most popular controlled-release...
A robust ensemble learning using zero–one loss function
A robust ensemble learning using zero–one loss function
2008,
Classifier is used for pattern recognition in various fields including data mining....
Player co-modelling in a strategy board game: discovering how to play fast
Player co-modelling in a strategy board game: discovering how to play fast
2008,
In this article we experiment with a 2-player strategy board game where playing models...
Similarity-based methods: a general framework for classifications, approximation and association
Similarity-based methods: a general framework for classifications, approximation and association
2000,
Similarity-based methods (SBM) are a generalization of the minimal distance (MD)...
Exponential and chaotic neurodynamical tabu searches for quadratic assignment problems
Exponential and chaotic neurodynamical tabu searches for quadratic assignment problems
2000,
The authors propose a chaotic neurodynamic searching method for the Quadratic...
Lumpy demand forecasting using neural networks
Lumpy demand forecasting using neural networks
2008,
The current study applies neural network (NN) modeling in forecasting lumpy demand. It...
Accessing feasible space in a generalized job shop scheduling problem with the fuzzy processing times: a fuzzy-neural approach
Accessing feasible space in a generalized job shop scheduling problem with the fuzzy processing times: a fuzzy-neural approach
2008,
This paper presents a fuzzy-neural approach for constraint satisfaction of a...
A neural model for the p-median problem
A neural model for the p-median problem
2008,
There exist several neural techniques for solving NP-hard combinatorial optimization...
How to optimize the TS-fuzzy knowledge base to achieve desired performances: Accuracy and robustness
How to optimize the TS-fuzzy knowledge base to achieve desired performances: Accuracy and robustness
2008,
Designing an effective criterion/learning to find the best rule and optimal structure...
Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study
Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study
2008,
Increasing competition in sheet metal operations has urged those companies to search...
Integrated Application of SPC/EPC/ICA and neural networks
Integrated Application of SPC/EPC/ICA and neural networks
2008,
There are many studies that have been conducted about the integrated use of...
A fuzzy neural network for the flow time estimation in a semiconductor manufacturing factory
A fuzzy neural network for the flow time estimation in a semiconductor manufacturing factory
2008,
Flow time assignment problem creates a great challenge to semiconductor manufacturing...
Using system dynamics, neural nets, and eigenvalues to analyse supply chain behaviour: a case study
Using system dynamics, neural nets, and eigenvalues to analyse supply chain behaviour: a case study
2008,
This paper presents a new methodology to predict behavioural changes in manufacturing...
Cooperation between artificial neural networks and technical ‘classic’ estimates of demand for a series of sales of beer in Australia
Cooperation between artificial neural networks and technical ‘classic’ estimates of demand for a series of sales of beer in Australia
2002,
The main goal of this article is to evaluate the complementation between forecasting...
Daily and monthly sugar price forecasting using the mixture of local expert models
Daily and monthly sugar price forecasting using the mixture of local expert models
2007,
This article concerns the application of the Mixture of Local Expert Models (MLEM) to...
Neural network-based mean–variance–skewness model for portfolio selection
Neural network-based mean–variance–skewness model for portfolio selection
2008,
In this study, a novel neural network-based mean–variance–skewness model...
Rules of classification from neural networks to aid decision making in granting of bank credit
Rules of classification from neural networks to aid decision making in granting of bank credit
2007,
Credit-risk evaluation is a very important management science problem in the financial...
Reservoir level forecasting using neural networks: Lake Naivasha
Reservoir level forecasting using neural networks: Lake Naivasha
2007,
Six feature groups comprising of water levels, rainfall, evaporation rate, discharges...
An approach using artificial neural networks for solving problems of restricted optimization
An approach using artificial neural networks for solving problems of restricted optimization
2004,
Systems based on artificial neural networks have high computational rates due to the...
On linear fractional programming problem and its computation using a neural network model
On linear fractional programming problem and its computation using a neural network model
2007,
In this paper we consider linear fractional programming problem and look at its linear...
Robust neural modeling for the cross-sectional analysis of accounting information
Robust neural modeling for the cross-sectional analysis of accounting information
2007,
The performance of robust artificial neural network models in learning bivariate...
Heuristics and augmented neural networks for task scheduling with non-identical machines
Heuristics and augmented neural networks for task scheduling with non-identical machines
2006,
We propose new heuristics along with an augmented-neural-network (AugNN) formulation...
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