[PDF] Top 20 Predicting Pavement Performance Utilizing Artificial Neural Network (ANN)
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Predicting Pavement Performance Utilizing Artificial Neural Network (ANN)
... Abstract— Pavement management systems (PMS) play a significant role in c ost-effective management of highway network s to optimize pavement performance over predicted service life of the ... See full document
5
AdaBoost Artificial Neural Network for Stock Market Predicting
... its performance in the past and all effective factors are reflected by the stock ...[5]. Predicting performance of ANN and SVM were studied for predicting direction of stock price index ... See full document
7
Development of artificial neural network model in predicting performance of the smart wind turbine blade
... The effect of current applied of SMA wires and correlation of the deflection of the plate has been modelled in ABAQUS in Figure 2 and tested experimentally in Figure 3 (ABAQUS 2012). The results obtained from the ... See full document
10
Comparison of Response Surface Methodology and Artificial Neural Network in Predicting the Microwave Assisted Extraction Procedure to Determine Zinc in Fish Muscles
... The network consists of an input layer, one hidden layer and an output ...the network in- clude irradiation power, nitric acid concentration, irra- diation time and temperature; output is the amount of zinc ... See full document
6
Predicting Force in Single Point Incremental Forming by Using Artificial Neural Network
... the network (training, validation, and test) and performed a linear regression between the network ...algorithm performance of the neural network R-value after simulation comes as ... See full document
8
Predicting Testing Effort Using Artificial Neural Network
... The performance of ANN model is to a large degree dependent on the data on which they are trained, and the availability of suitable system data will determine the extent to which testing effort models can be ...of ... See full document
6
Precision spray modeling using image processing and artificial neural network
... employed artificial neural network method for predicting the sprayer drift under different conditions using image processing ...of predicting the output variables in different ... See full document
10
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 ... See full document
12
Pavement Condition Forecasting Through Artificial Neural Network Modelling
... certain performance characteristics resembling biological neural networks of the human ...A neural network is characterised by its architecture that represents the pattern of connection ... See full document
5
Predicting India Volatility Index: An Application of Artificial Neural Network
... Neural network models originated from the work of McCulloch and Pitts in 1943 (Garson, ...by neural network models on IBM stock's daily returns (White, ...returns. Neural network ... See full document
9
Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance
... Considering pavement engineering, numerous efforts have been spent on evaluating pavement functional performance using ANN (Attoh- Okine, 1994; Eldin & Senouci, 1995; Shekharan, 1999; Terzi, ... See full document
22
Predicting Reservoir Water Level Using Artificial Neural Network
... is network of parallel, distributed information processing system that relates an input and output ...of network, where data flow one way (forward), is known as a feedforward back propagation ...functions. ... See full document
8
An artificial neural network approach for predicting the performance of ship machinery equipment
... ship performance, having a great impact in terms of business losses by reducing ship availability and increasing downtime and moreover increasing the potential of major accidents occurring, en- dangering lives ... See full document
7
Predicting energy requirement for heating the building using artificial neural network
... using artificial neural network ...the network. The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and ... See full document
6
Artificial neural network, genetic algorithm, and logistic regression applications for predicting renal colic in emergency settings
... in predicting renal colic according to the results of this ...for predicting genetic factors in stone disease [7], stone composition [8], spontaneous passage of ureteral calculi [9], and outcome after ... See full document
7
Artificial Neural Network for Predicting Flood : A Review
... using artificial neural network as a modeling tool and validated the accuracy of the model against actual ...propagation neural network ...tracking performance of the actual ... See full document
14
An Artificial Neural Network Approach for Predicting Kinematics in Handball Throws
... MLP neural network output data and the original analysis ...MLP neural network errors (Root mean square error (RMSE), Normalized root mean square error (NRMSE), Mean Absolute Error (MAE), ... See full document
5
Using Artificial Neural Network to Predict the Compressive Strength of Concrete containing Nano silica
... of artificial neural network to develop model for predicting 28 days compressive strength of concrete with partial replacement of cement with nano-silica for which the data has been taken from ... See full document
7
Predicting Rectal Temperature of Broiler Chickens with Artificial Neural Network
... The algorithm used in the training was the backpropagation, adopting a learning rate equal to 1 and a momentum factor equal to 0.7. The selection of a high learning rate, despite accelerating the convergence of training ... See full document
6
Wind power interval prediction utilizing SOM BP artificial neural network
... SOM neural network to cluster the measured data to smooth the fluctuations and reduce the ...excellent performance and can be reasonable applied to predict wind power ... See full document
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