[PDF] Top 20 Design and analysis of a multivariate regression model using artificial neural network

Design and analysis of a multivariate regression model using artificial neural network

... Rangkaian neural menyediakan satu aplikasi yang boleh digunakan dalam pelbagai bidang secara ...satu model rangkaian neural buatan berdasarkan model ...rangkaian neural, satu eksperimen ... See full document

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Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification

... The task in this paper is a simple path tracking problem with reflective sensors and 2 DC motors. Although DC motor control has been investigated intensively by many researchers [8-11], FPAA is employed as the controller ... See full document

134

Tool Life Prediction Model Using Regression and Artificial Neural Network Analysis

... operations using design of experiments and the neural network technique, and the values obtained from both methods were compared with the experimental values to determine the accuracy of the ... See full document

8

Regional flood frequency analysis using an artificial neural network model

... the design floods. The models were tested using observed discharge data from 88 catchments in ...on model performance in predicting design floods of 2, 5, 10, 20, 50 and 100 years return ... See full document

15

Concrete Mix Design Using Artificial Neural Network

... A neural network model requires no functional relationship among the variables, as is the case with most of other regression analysis ...A neural network based modelling ... See full document

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Modeling for Prediction of Characteristic Deflection of Flexible Pavements- Comparison of Models Based on Artificial Neural Network and Multivariate Regression Analysis

... and design of overlays for strengthening of a weak ...on Multivariate Regression analysis and Artificial Neural Network to predict reasonably accurate characteristic ... See full document

6

Predictive Computational Model for Target Marketing using Social Network Analysis and Artificial Neural Network

... to design specific strategies and techniques to promote a product amongst its target ...social network analysis can be used by marketers to develop efficient marketing ...of using social ... See full document

5

Descriptive Analysis of Artificial Neural Network

... all artificial neural networks have a related composition or topology as shown in ...the network thinks that it has scanned or the particular image it thinks is being ...a neural ... See full document

5

Analysis of Chronic Skin Diseases using Artificial Neural Network

... of artificial intelligence, soft computing, and image processing, used for design as of a number of authors have furthermore, the addition of area understanding concerning the individuality of objects ... See full document

7

Artificial Neural Network and Non-Linear Regression: A Comparative Study

... ANN model with 6 neurons in the single hidden layer was successful in modeling the dynamical relationship in the all India rainfall ...to design a better simulation ...components analysis of the ... See full document

5

Investigations on Prediction of MRR and Surface Roughness on Electro Discharge Machine Using Regression Analysis and Artificial Neural Network Programming

... focused using four levels of current and three levels of tool diameter to find the optimum values of output quality characteristics ...out using Full Factorial Design of Experiment methods ...out ... See full document

6

Prediction of Construction Project Performance using Regression Analysis and Artificial Neural Network

... develop regression models and neural network models to predict cost performance, schedule performance, quality performance and satisfaction ...Linear Regression (MLR) and Artificial ... See full document

8

Insolvency Prediction Model Using Multivariate Discriminant Analysis and Artificial Neural Network for the Finance Industry in New Zealand

... conceptualize model allows for flexibility of data input and a wider selection of ratios to improve insolvency prediction or enhancing precision in the coefficient estimates (MDA) of a failed company as demanded ... See full document

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Analysis of Tanzanian Energy Demand using Artificial Neural Network and Multiple Linear Regression

... Tanzania using economic, energy and environment indicators ...demand using ANN-MLP and MLR techniques. The best performing indicators model from each techniques were then compared to determine the ... See full document

8

Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network

... the multivariate statistical nonparametric method, through which the elimination of the high correlation between the initial variables (multicollinearity phenomenon) and improved the predictive ability of the ... See full document

16

Weather Forecasting Model using Artificial Neural Network

... nonlinear model be specified before the estimation is ...trend, Artificial Neural Network (ANN) has evolved out to be a better technique to bring out the structural relationship between the ... See full document

8

Sentiment Analysis of Movie using Artificial Neural Network

... a model depen- dent on Sentiment Classification of Movie Reviews utilizing Efficient Repetitive Pre-preparing (SentReP), which depends on tried parameters and an engaged pre-handling strategy to characterize ... See full document

5

Comparison of Regression Model and Artificial Neural Network Model for the prediction of Electrical Power generated in Nigeria

... Energy analysis is defined as a particular set of procedures for evaluating the total energy requirements for the supply of a service or ...Energy analysis is an important exercise in the overall energy ... See full document

11

Denial-Of-Service Attack Detection Using Artificial Neural Network Based On Genetic Algorithm and Multivariate Correlaton Analysis

... genuine network traffic using multivariate correlatin analysis and artificial neural ...uses Multivariate Correlation Analysis (MCA) and ANN. For exact ... See full document

8

Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks

... A model for multivariate streamflow generation is presented, based on a multilayer feedforward neural ...the model results from two components, the neural network (NN) ... See full document

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