نتایج جستجو برای: marquardt artificial neural network
تعداد نتایج: 1027459 فیلتر نتایج به سال:
Introduction: Obesity and hypertension are community health problems. The objective of this study was to diagnose obesity and hypertension in Isfahani students by artificial neural network. Method: The present study was a diagnostic and predictive one that used the information of 460 students aged 7-18 years old in Isfahan to design a neural network with 11 input variables (age, sex, weight, he...
Introduction: Obesity and hypertension are community health problems. The objective of this study was to diagnose obesity and hypertension in Isfahani students by artificial neural network. Method: The present study was a diagnostic and predictive one that used the information of 460 students aged 7-18 years old in Isfahan to design a neural network with 11 input variables (age, sex, weight, he...
In this paper a novel technique is proposed for the estimation of resonant frequency of coaxial feed equilateral triangular microstrip patch antenna. The major advantage of the proposed approach is that, after proper training, proposed neural model completely bypasses the repeated use of complex i terative process for calculation of resonant frequency, thus resulting in an extremely fast soluti...
This paper presents the use of artificial neural network for the estimation of different performance parameters (i.e. Directivity, Radiation Efficiency, Gain and Bandwidth) of a coaxial feed equilateral triangular microstrip patch antenna. Levenberg-Marquardt training algorithms of MLPFFBP-ANN (Multilayer Perceptron feed forward back propagation Artificial Neural Network) has been used to imple...
The weld quality of Tunston inert gas welded joint has been investigated to identify the most economical weld parameters that will bring about optimum properties. Artificial neural network, has been used in the prediction and optimization of the Tunston inert gas weld of mild steel pipes. Neural network model was generated using the Levenberg-Marquardt algorithm with feed ward back propagation ...
Estimating spatial distribution of precipitation is vital to execute water resources plans, drought, land-use plans environment, watershed management, and agricultural master plans. High variation in amount of precipitation in various parts, lack of measurement stations, and the complexity of relationship between precipitation and parameters affecting it have doubled the importance of developin...
Unconventional machining process finds lot of application in aerospace and precision industries. It is preferred over other conventional methods because of the advent of composite and high strength to weight ratio materials, complex parts and also because of its high accuracy and precision. Usually in unconventional machine tools, trial and error method is used to fix the values of process para...
Due to the rapid growth in technology employed by the spammers, there is a need of classifiers that are more efficient, generic and highly adaptive. Neural Network based technologies have high ability of adaption as well as generalization. As per our knowledge, very little work has been done in this field using neural network. We present this paper to fill this gap. This paper evaluates perform...
background : the study examined the implementation of artificial neural network (ann) for the prediction of ammonia nitrogen removal from landfill leachate by ultrasonic process. methods : a three-layer backpropagation neural network was optimized to predict ammonia nitrogen removal from landfill leachate by ultrasonic process. considering the smallest mean square error (mse), the configuration...
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