[PDF] Top 20 THE USE OF AN ARTIFICIAL NEURAL NETWORK TO PREDICT AUSTRALIA’S EXPORT AIR CARGO DEMAND

THE USE OF AN ARTIFICIAL NEURAL NETWORK TO PREDICT AUSTRALIA’S EXPORT AIR CARGO DEMAND

... The objective of an artificial neural network (ANN) is to make accurate predictions for the dependent variable (output cell) (Khan et al., 2015). ANNs capture the inherent information from a ... See full document

16

Daily SO2 Air Pollution Prediction with the use of Artificial Neural Network Models

... nowadays. Air pollution, especially in the health of human beings, which adversely affect the health of the air and it is foreign matter in the air, the amount of density and reach above the ...of ... See full document

5

A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD

... 4. ARTIFICIAL NEURAL NETWORK The ANNs are mathematical modeling tools that are especially useful in the field of prediction and forecasting in complex ...A neural network is an ... See full document

6

A Predictive Model for Corrosion Inhibition of Mild Steel by Thiophene and Its Derivatives Using Artificial Neural Network

... The lower layer represents the input layer. The input layer is used to introduce the input (predictor) variables to the network. The upper layer is the output layer. The outputs of the nodes in this layer ... See full document

15

Consolidation Of Soft Computing Approaches For Predictingthe Wheat Yield In India

... and predict the upcomingresults on the basis of past data [1, ...the Artificial Neural Network (ANN) is a frequently used method for forecasting in different fields of finance, education, ... See full document

5

FORECASTING ENERGY DEMAND FOR A HOUSE USING ARTIFICIAL NEURAL NETWORK

... The Neural networks has the ability of nonlinear relationships and the model ...the neural networks transform linear ARIMA models which are to create the short term load ... See full document

6

Forecasting Determinant of Cement Demand in Indonesia with Artificial Neural Network

... presented Artificial Neural Network (ANN) as one of the predicting methods to obtain more accurate predicted ...propagation neural network was implemented in this experiment to solve ... See full document

12

Review of Demand Side Management by using Artificial Neural Network

... Demand Side Management is basically the planning, analysis and implementation of utility activities to study and fulfill the customer’s load demand. Implementation of a load shaping options as a load ... See full document

9

MODELLING AUSTRALIA’S OUTBOUND PASSENGER AIR TRAVEL DEMAND USING AN ARTIFICIAL NEURAL NETWORK APPROACH

... an artificial neural network (ANN) models for predicting Australia’s outbound international airline passenger ...the use of annual data from 1993 to 2016, the ANN model was developed and ... See full document

18

Prediction of Skin Cancer Using Morphological Neural Network Analysis

... combinatorial use of Morphological Image Processing and Artificial Neural Network, called “Morphological Neural Network with Image Pruning” , which is used to classify skin ... See full document

13

On the application and design of artificial neural networks for motor fault detection. II.

... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ... See full document

8

Using Artificial Neural Network to Predict Body Weights of Rabbits

... developed artificial neural network (ANN) models for predicting body weight using various independent (input) variables in eight-week old New Zealand white pure- bred and crossbred ...the ... See full document

6

Application of Artificial Intelligence (AI) Modeling in Kinetics of Methane Hydrate Growth

... feed-forward artificial neural network algorithm which could estimate hydrate dissociation conditions for the hydrates of following systems: hydrogen + water, hydrogen + tetrahydrofuran + water and ... See full document

7

To Predict the Waterfastness Rate of Foil Print Applying Artificial Neural Network

... on artificial neural network (ANN) model to determine the waterfastness rate of foil prints with variation of ...the artificial neural network (ANN) has given a bit more ... See full document

6

<p>Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet</p>

... cial neural network (ANN) was used for the optimization of ﬁ nal DCP-Eudragit-S100 complex and the experimental data were employed to train a multi- layer perception (MLP) using quick propagation (QP) ... See full document

14

Air quality prediction using artificial neural network

... of artificial neural networks in predicting fuzzy data and the successful application of this approach in various fields gives the idea of implementing ANN to predict air quality based on ... See full document

5

Simultaneous modeling of passenger and cargo demand at an airport

... for air travel demand models - apart from three, all studies follow this ...studies use aggregated data, although the spatial coverage of aggregation can be different ...the demand models in ... See full document

26

Correlation analysis and prediction of personality traits using graphic data collections

... of artificial neural ...investigated, artificial neural networks are used as a ...convolutional neural network, trained on the images and results of the NEO-FFI questionnaire, ... See full document

7

Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network

... Artificial neural network is a method which is inspired by biological neural networks to achieve an estimation of parameters which depend on many ...to predict parameters and find a ... See full document

9

Short Term Load Prediction in Distributed System Using Machine Learning V. Kalaiarasi *1 , A. Helana 2, M. Sakthivel3

... into Artificial Neural Network (ANN) and after sufficient practicing were used to predict the load demand for the next week, month and ... See full document

5