Keyword: neural networks

Found 847 papers in total
A Hybrid ARIMA-ANN approach for optimum estimation and forecasting of gasoline consumption
A Hybrid ARIMA-ANN approach for optimum estimation and forecasting of gasoline consumption
2017,
Accurate estimation and forecasting of gasoline is vital for policy and...
Analysing the solution of production-inventory optimal control systems by neural networks
Analysing the solution of production-inventory optimal control systems by neural networks
2017,
In this paper, a general production‐inventory optimal control system is...
Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data
Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data
2017,
The purpose of any effective supply chain is to find balance between supply and demand...
A decision support system for improved resource planning and truck routing at logistic nodes
A decision support system for improved resource planning and truck routing at logistic nodes
2017,
In this paper, we present an innovative decision support system that simultaneously...
Real-time multimodal transport path planning based on a pulse neural network model
Real-time multimodal transport path planning based on a pulse neural network model
2017,
A modified pulse‐coupled neural network (MPCNN) model is designed for...
A Wavelet Support Vector Machine-Based Neural Network Metamodel for Structural Reliability Assessment
A Wavelet Support Vector Machine-Based Neural Network Metamodel for Structural Reliability Assessment
2017,
Wavelet neural network (WNN) has been widely used in the field of civil engineering....
An application of artificial neural network and particle swarm optimisation technique for modelling and optimisation of centreless grinding process
An application of artificial neural network and particle swarm optimisation technique for modelling and optimisation of centreless grinding process
2017,
Centreless grinding operation is widely used in manufacturing industry for its high...
Modeling corporate entrepreneurship success with ANFIS
Modeling corporate entrepreneurship success with ANFIS
2017,
Albeit the application of Adaptive Neuro‐Fuzzy Inference System (ANFIS) in many...
A study of neural network Russian language models for automatic continuous speech recognition systems
A study of neural network Russian language models for automatic continuous speech recognition systems
2017,
We show the results of studying models of the Russian language constructed with...
A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images
A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images
2017,
Sign language is used by approximately 70 million...
Developing intelligent index for fuzzified inventory of supply chain by using neural computing
Developing intelligent index for fuzzified inventory of supply chain by using neural computing
2017,
An intelligent index measures the performance of fuzzified inventory flowing in supply...
Determination of evidence correction factors based on the neural network
Determination of evidence correction factors based on the neural network
2017,
A modified method to combine evidence based on artificial neural network and...
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
2017,
A number of image processing techniques (IPTs) have been implemented for detecting...
Forecasting energy demand using neural-network-based grey residual modification models
Forecasting energy demand using neural-network-based grey residual modification models
2017,
Grey forecasting models have taken an important role for forecasting energy demand,...
A self-tuning ANN model for simulation and forecasting of surface flows
A self-tuning ANN model for simulation and forecasting of surface flows
2016,
Artificial neural networks (ANN) are applicable for and forecasting without the need...
Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images
Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images
2016,
The objective of this study was to compare feed‐forward artificial neural...
Artificial Neural Network Rainfall-Discharge Model Assessment Under Rating Curve Uncertainty and Monthly Discharge Volume Predictions
Artificial Neural Network Rainfall-Discharge Model Assessment Under Rating Curve Uncertainty and Monthly Discharge Volume Predictions
2016,
The accuracy of rainfall‐discharge volume model predictions depends on the...
A hybrid approach using data envelopment analysis and artificial neural network for optimising 3PL supplier selection
A hybrid approach using data envelopment analysis and artificial neural network for optimising 3PL supplier selection
2017,
Today third party logistics (3PL) service providers are into almost all the...
An ANN-PSO-based model to predict fault-prone modules in software
An ANN-PSO-based model to predict fault-prone modules in software
2016,
Fault‐prone module identification in software helps software developers to...
Ensemble Forecasting for Complex Time Series Using Sparse Representation and Neural Networks
Ensemble Forecasting for Complex Time Series Using Sparse Representation and Neural Networks
2017,
Based on the concept of ‘decomposition and ensemble’, a novel ensemble...
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion
2016,
Encouraged by superior convergence performance achieved by a recently‐proposed...
Neural network for computing pseudoinverses and outer inverses of complex-valued matrices
Neural network for computing pseudoinverses and outer inverses of complex-valued matrices
2016,
We propose two continuous‐time neural networks for computing generalized...
Evolutionary Algorithm-Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting
Evolutionary Algorithm-Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting
2017,
Forecasting is one of the crucial factors in applications because it ensures the...
Meta-models in Computer Experiments: Kriging versus Artificial Neural Networks
Meta-models in Computer Experiments: Kriging versus Artificial Neural Networks
2016,
Non‐stochastic simulation models, such as finite element or computational fluid...
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