Keyword: neural networks

Found 847 papers in total
A hybrid neural network Imperialist Competitive Algorithm for skin color segmentation
A hybrid neural network Imperialist Competitive Algorithm for skin color segmentation
2013,
Skin color detection is a popular and useful technique because of its wide range of...
Classification approach for reliability‐based topology optimization using probabilistic neural networks
Classification approach for reliability‐based topology optimization using probabilistic neural networks
2012,
This research explores the usage of classification approaches in order to facilitate...
Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time‐varying leverage
Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time‐varying leverage
2012,
The motivation of this paper is to investigate the use of a Neural Network (NN)...
Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks
Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks
2012,
Artificial neural networks (ANNs) have been found to be useful for sales/demand...
A SEM–neural network approach for understanding determinants of interorganizational system standard adoption and performances
A SEM–neural network approach for understanding determinants of interorganizational system standard adoption and performances
2012,
This research examines the adoption of an interorganizational system standard and its...
Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology
Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology
2013,
In general, due to inherently high complexity, carbon prices simultaneously contain...
Stock index forecasting based on a hybrid model
Stock index forecasting based on a hybrid model
2012,
Forecasting the stock market price index is a challenging task. The exponential...
Self‐organizing maps in population based metaheuristic to the dynamic vehicle routing problem
Self‐organizing maps in population based metaheuristic to the dynamic vehicle routing problem
2012,
We consider the dynamic vehicle routing problem (dynamic VRP). In this problem, new...
Artificial neural network application of modeling failure rate for Boeing 737 tires
Artificial neural network application of modeling failure rate for Boeing 737 tires
2011,
This paper presents an application of artificial neural network (ANN) technique for...
MLP ensembles improve long term prediction accuracy over single networks
MLP ensembles improve long term prediction accuracy over single networks
2011,
This work describes an award winning approach for solving the NN3 Forecasting...
Forecasting the NN5 time series with hybrid models
Forecasting the NN5 time series with hybrid models
2011,
We propose a simple way of predicting time series with recurring seasonal periods....
Holt’s exponential smoothing and neural network models for forecasting interval‐valued time series
Holt’s exponential smoothing and neural network models for forecasting interval‐valued time series
2011,
Interval‐valued time series are interval‐valued data that are collected...
Forecasting ATM cash demands using a local learning model of cerebellar associative memory network
Forecasting ATM cash demands using a local learning model of cerebellar associative memory network
2011,
Forecasting cash demands at automatic teller machines (ATMs) is challenging, due to...
An empirical analysis of neural network memory structures for basin water quality forecasting
An empirical analysis of neural network memory structures for basin water quality forecasting
2011,
This research investigates the cumulative multi‐period forecast accuracy of a...
Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition
Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition
2011,
In this work we introduce the forecasting model with which we participated in the NN5...
Top‐down strategies based on adaptive fuzzy rule‐based systems for daily time series forecasting
Top‐down strategies based on adaptive fuzzy rule‐based systems for daily time series forecasting
2011,
This paper presents a data‐driven approach applied to the long term prediction...
Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction
Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction
2011,
This paper reports the results of the NN3 competition, which is a replication of the...
Stochastic stability of discrete‐time uncertain recurrent neural networks with Markovian jumping and time‐varying delays
Stochastic stability of discrete‐time uncertain recurrent neural networks with Markovian jumping and time‐varying delays
2011,
In this paper, the problem of robust exponential stability analysis of uncertain...
Prediction of the Amount of Wood Using Neural Networks
Prediction of the Amount of Wood Using Neural Networks
2012,
Coniferous trees such as eucalyptus used to be preferred for papermaking because the...
The augmented Lagrange Hopfield network for economic dispatch with multiple fuel options
The augmented Lagrange Hopfield network for economic dispatch with multiple fuel options
2013,
This paper proposes an augmented Lagrange Hopfield network (ALHN) for solving economic...
ANFIS approach for SSSC controller design for the improvement of transient stability performance
ANFIS approach for SSSC controller design for the improvement of transient stability performance
2013,
In this paper, an Adaptive Neuro‐Fuzzy Inference System (ANFIS) method based on...
Multiple costs based decision making with back‐propagation neural networks
Multiple costs based decision making with back‐propagation neural networks
2012,
The current research investigates a single cost for cost‐sensitive neural...
An analytic approach to better understanding and management of coronary surgeries
An analytic approach to better understanding and management of coronary surgeries
2012,
Demand for high‐quality, affordable healthcare services increasing with the...
Novel linear programming approach for building a piecewise nonlinear binary classifier with a priori accuracy
Novel linear programming approach for building a piecewise nonlinear binary classifier with a priori accuracy
2012,
This paper describes a novel approach to build a piecewise (non)linear surface that...
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