[PDF] Top 20 Estimation of Binary Infinite Dilute Diffusion Coefficient Using Artificial Neural Network

... systems. Infinite dilute diffusion coefficient was spotted as a function of critical temperature, critical pressure, critical volume, normal boiling point, molecular volume in normal boiling ... See full document

... products. Artificial neural network is emerging as a modeling tool for complex operations involving non linear multivariable ...at estimation of the osmotic drying rates & weight reduction ... See full document

... radiation using artificial neural network are presented in this ...An artificial neural network model to estimate global solar radiation using eight input data ... See full document

... is artificial neural network method, one of which detects the plant’s life age and analayze through linear regression which involving Normalized Different Vegetation Index (NDVI) value and production ... See full document

... cost estimation is the process of predicting the effort required to develop a software ...Many estimation mod- els have been proposed over the last 30 ...cost estimation techniques and tools to ... See full document

... by using various models on the basis of sunshine hour or ...Evaluation, estimation and prediction are often done using statistical packages such as SAS, SPSS, GENST AT ...methods. Neural ... See full document

... “Artificial neural networks” (ANNs) is ...forward artificial neural network ...of neural networks versus translog models for approximating different theoretical production ... See full document

... 1 using the maximum and minimum values of mea- sured variables in the composite data set (Table 2), which is a nor- mal procedure for NN modeling to prevent large numbers from suppressing smaller values and ... See full document

... the network and PM estimated ETr as ...crop coefficient values were also considered as input along with meteorological parameters, as crop coefficients are of1 st to 5 th year ...ETp using crop ... See full document

... Backpropagation) Neural network against the RSA cryptosystem were employed and from the illustrated results it is clear that though the RB neural network is very good at function ... See full document

... when using coated carbide tools during hard ...wear estimation in coated carbide tools using regression analysis, fuzzy logic and Artificial Neural Network (A–NN) is ... See full document

... used artificial intelligence models in the application of building energy ...optimization, estimation of usage ...propagation neural networks to predict the required heating load of ...by ... See full document

... by artificial neural network (ANN). The neural network employed here is a connected back-propagation model with a 4-4-1 ...the estimation of logP o/w for molecules not yet ... See full document

... al. using muscle synergy strategies extracted from a modified nonnegative matrix factoriza- tion algorithm to estimate the torque [8] and kinematics [9,10] of multiple DOFs produced at the ...of neural ... See full document

... cost estimation of Power Plant Projects has inherited the traditional foolproof processes and dependent mainly on the manual search into historical databases; where it is then used to formulate the bill of ... See full document

... The proposed method is as shown in the figure. Five hundred and eighty fundus images which comprise 58 image pairs for same person were used in this process .these fundus images were obtained using fundus camera. ... See full document

... Genetic algorithms we prove that no matter how close we are to the end of generations to converge to the optimal solutions are needed to reduce the rate of mutation operator. This technique will also lead to changes in ... See full document

... of objective evaluations, learned from data, with subjective evaluations estimated by experts [19]. Also another feature is the possibility to carry out what-if analyses, by giving the model with variations in input ... See full document

... response network is represented by plots illustrated in Figures ...correlation coefficient R=1.0000. This result confirms the robustness of the neural model established and the possibility of ... See full document

... determined using ANN modeling from different combinations of architectures and transfer functions by means of a feed-forward neural network model which renders the effect of volume of ...Maquardt ... See full document