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[PDF] Top 20 Pavement Condition Forecasting Through Artificial Neural Network Modelling

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Pavement Condition Forecasting Through Artificial Neural Network Modelling

Pavement Condition Forecasting Through Artificial Neural Network Modelling

... layer artificial neural network model for pavement condition forecasting modelling is designed as shown in figure ...present pavement age and second present ... See full document

5

A New Approach for Rainfall Prediction using  Artificial Neural Network

A New Approach for Rainfall Prediction using Artificial Neural Network

... weather forecasting, Rainfall Prediction has a broader ...of forecasting the rainfall techniques are provided in India, because India is an agricultural country and the rainfall and humidity is the main ... See full document

12

Predicting Pavement Performance Utilizing Artificial Neural Network (ANN)

Predicting Pavement Performance Utilizing Artificial Neural Network (ANN)

... Iowa faces critical challenges in providing a safe, efficient highway system, particularly in terms of balancing optimum highway conditions and available local, state, and federal funds. According to the American Society ... See full document

5

Forecasting nitrate concentration in groundwater using artificial neural network and linear regression models

Forecasting nitrate concentration in groundwater using artificial neural network and linear regression models

... of network depends on the nature of the problem to be solved (Goethals et ...the modelling problem, the input data representation and the form of the network output ... See full document

6

Dual Artificial Neural Network for Rainfall Runoff Forecasting

Dual Artificial Neural Network for Rainfall Runoff Forecasting

... of artificial neural networks (ANNs) has marked an impact in the area of hydrological ...logical modelling, as they can predict virtually any (measurable) function up to a random degree of precision ... See full document

5

Global solar radiation forecasting based on meteorological  data using artificial neural network

Global solar radiation forecasting based on meteorological data using artificial neural network

... Shah Alam et al (2009) developed artificial neural network (ANN) models for estimating monthly mean hourly and daily diffuse solar radiation. Solar radiation data from 10 Indian stations, having ... See full document

5

Escalation of Forecasting Accuracy through Linear  Combiners of Predictive Models

Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models

... Artificial neural networks (ANN) are mimicking the human brains way of learning and emulate human’s behavior for solving nonlinear complex ...effective modelling procedure to solve real problems, ... See full document

14

Forecasting of monthly marine fish landings using artificial neural network

Forecasting of monthly marine fish landings using artificial neural network

... Notice from the results that the value of RMSE and MAE tend to be lower for East Johor than for Pahang, irrespective of the forecasting models. For instance, the ANN model’s performance for East Johor is better ... See full document

15

Evolutionary Load Forecasting using Artificial Neural Network

Evolutionary Load Forecasting using Artificial Neural Network

... Data collection is a vital task of any kind of research study. Insufficient or inaccurate data can influence the results of a study and eventually lead to skewed results.In this, the actual load data was taken. Weather ... See full document

6

Groundwater level forecasting using Artificial Neural Network

Groundwater level forecasting using Artificial Neural Network

... resource modelling and forecasting was carried out to simulate the trend of groundwater level and its ...level forecasting during monsoon and non monsoon ... See full document

5

Short-Term Load Forecasting Using Artificial Neural Network

Short-Term Load Forecasting Using Artificial Neural Network

... load forecasting was found in [6].Fuzzy Neural Networks (FNN) [7] and other techniques applying wavelets with NN [8] have also been tested for ...ANNSTLF-artificial neural network short ... See full document

6

HYBRID AND INTEGRATED APPROACH TO SHORT TERM LOAD FORECASTING

HYBRID AND INTEGRATED APPROACH TO SHORT TERM LOAD FORECASTING

... Layer Neural Network Power Systems architecture was chosen for ...problem. Forecasting was tested to the neural networks based on designed network architecture described in ... See full document

6

FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING

FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING

... Weather forecasting is a challenging time series forecasting problem because of its dynamic, continuous, data-intensive, chaotic and irregular ...series forecasting techniques exist and are widely ... See full document

13

Implementation of Artificial Neural Network for Short Term Load Forecasting
                 

Implementation of Artificial Neural Network for Short Term Load Forecasting  

... achieved through pattern recognition and function approximation, etc. Artificial Neural Network (ANN) is like a computing system having a number of simple and highly interconnected processing ... See full document

5

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... The problem of stock index prediction is one of the most popular targets for various prediction methods in the area of finance and economics. In the past many Computational Intelligence techniques have been applied to ... See full document

5

Evaluation of Artificial Neural Networks in Foreign Exchange Forecasting

Evaluation of Artificial Neural Networks in Foreign Exchange Forecasting

... and forecasting of exchange rates of four countries (Great Britain Pound, Japanese Yen, Nigerian Naira and Batswana Pula) using Artificial Neural Network, the objective of this paper is to use ... See full document

8

Short Term Load Forecasting With Perceptron
Artificial Neural Network

Short Term Load Forecasting With Perceptron Artificial Neural Network

... 2.6 Conclusion METHODOLOGY 3.0 Introduction 3.1 Data analysis 3.2 Matlab simulation 3.2.1 Create a multilayer perceptron nntool 3.2.2 Develop input and target data 3.2.3 Trained and simu[r] ... See full document

24

Smart Building: Use of the ANN Approach for Indoor Temperature Forecasting

Smart Building: Use of the ANN Approach for Indoor Temperature Forecasting

... temperature forecasting aims at the prediction of the building indoor temperature for the optimal regulation of the energy devices as well as for ensuring occupants’ ...The forecasting time depends on the ... See full document

12

Integration of clinical decision support systems in Dutch radiology departments

Integration of clinical decision support systems in Dutch radiology departments

... is artificial neural networks ...biological neural networks in our brain ...the network contains (more on this in Appendix E). Single-layer neural networks are often referred to as ... See full document

130

Demand Forecasting in Deregulated Electricity Markets

Demand Forecasting in Deregulated Electricity Markets

... a neural network approach to forecast next day electricity demand in the electricity markets of ...neural network. This work also proposes two types of demand forecasting models: ... See full document

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