Top PDF Gestión del liderazgo y valores en el Colegio Nacional Clemente Baquerizo de la ciudad de Babahoyo, durante el período lectivo 2011 – 2012
Prediction of Skin Penetration using Artificial Neural Network
... The artificial neural networks (ANN) technologies provide on-line capability to analyze many inputs and provide information to multiple outputs, and have the capability to learn or adapt to changing ...
Masonry Compressive Strength Prediction Using Artificial Neural Networks
... characteristics of its ...strength of masonry and the geometrical and mechanical properties of the components of the ...application of arti ficial neural networks for predicting ...
J. Braz. Soc. Mech. Sci. & Eng. vol.34 número3
... depth of cut in turning of SS 440 C stainless ...fuzzy neural network model. It was also demonstrated that features of vibration signals can be used to determine the drill wear with ...
Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... Artificial neural networks (ANNs), as one of the most attractive branches in artificial intelligence, has the potential to handle problems such as modeling, estimating, prediction, ...
Artificial Neural Network for Precipitation and Water Level Predictions of Bedup River
... level prediction at Bedup River with estimations made to absent precipitation data, both using Artificial Neural Network ...state of Sarawak, Malaysia have been actively carried ...
Hybrid Intelligent Approach for Predicting Product Compositions of a Distillation Column
... control of distillation process. The product compositions of distillation columns are traditionally measured using indirect techniques via inferring tray compositions from its temperature or by ...
Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... appropriate neural network, able to simulate the behavior of proximity sensor at different functioning conditions, we choose a high degree of parameterization for the application, with ...
Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques.
... in artificial neural network (ANN). The parameters of the ANN must also be properly tuned in order to obtain the best performance of the ...method of combina- tion of ...
PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS
... Artificial Neural Network (ANN) can be useful tool to predict the hydrodynamic coefficients of permeable ...analyses of coastal structures such as rubble mound breakwaters using ...
Short-Term Load Forecasting Using Artificial Neural Network
... function of weather variables and human social activities, industrial activities as well as community developmental level to mention a few ...activities of an electric utility requires the prediction ...
Application of Artificial Neural Network For Path Loss Prediction In Urban Macrocellular Environment
... An artificial neural network model for the prediction of path loss in urban macrocellular environment is ...consists of a multilayer perceptron trained with measured data ...
Lat. Am. j. solids struct. vol.13 número10
... effect of different types of ammunition on the barrel using computers and eliminates the need for time consuming and costly ...an artificial neural network trained according to ...
Artificial neural network for prediction of the area under the disease progress curve
... ABSTRACT: Artificial neural networks (ANN) are computational models inspired by the neural systems of living beings capable of learning from examples and using them to solve ...
Artificial neural network analysis of genetic diversity in
... stage of maturity (yellowing) were used from three plants per ...length of the fruit flesh, using a ...distance of 0.5 cm from the skin, based on resistance to penetration ...
Prediction of ferric iron precipitation in bioleaching process using partial least squares and artificial neural network
... range of the tangent sigmoid transfer function of the ...ters of network including the number of nodes in the hidden layer, weights and biases learning rates and momentum values were ...
Threshold Prediction of a Cyclostationary Feature Detection Process using an Artificial Neural Network
... way of utilizing the spectrum efficiently depending on the ...forms of distortion and disturbances depending on the factors like distance, transmission medium and so ...types of distortions and ...
EUROPEAN UNION’S HISTORY, CULTURE AND CITIZENSHIP
... aim of this research is to quantify the tourism demand using an Artificial Neural Network (ANN) ...modulation of the tourism time series: “Monthly Guest Nights in Hotels” in ...
Evaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange Trends
... purpose of this study is to develop an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock ...two prediction models, an ...
MOTION PLANNING OF AN AUTONOMOUS MOBILE ROBOT USING ARTIFICIAL NEURAL NETWORK
... adaptive neural network can accept visual signals as inputs directly from visual sensors for the spatial information ...motion of several mobile robots ensuring collision avoidance ...modelling ...
Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network
... Institute of Engineering & Technology, Lucknow, India, in 2007, the ...Department of Electronics Engineering, Azad Institute of Engineering & Technology, Lucknow in August 2008 to ...