[PDF] Top 20 Using Fuzzy Regression and Neural Network to Predict Organizational Performance
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Using Fuzzy Regression and Neural Network to Predict Organizational Performance
... However, regression model has some limitations and constraints in the real world ...applied fuzzy regression using neural network (FRNN) to predict ... See full document
2
Neural Network Technology To Predict Intracellular Water Volume
... papers and pens whereas ANN needs a computer with appropriate software; we herein provide an anthropometry- based equation which has similar performance closely to ANN whilst there are no computers ... See full document
8
Neural network technology to predict intracellular water volume
... papers and pens whereas ANN needs a computer with appropriate software; we herein provide an anthropometry- based equation which has similar performance closely to ANN whilst there are no computers ... See full document
8
Neural network technology to predict intracellular water volume
... papers and pens whereas ANN needs a computer with appropriate software; we herein provide an anthropometry- based equation which has similar performance closely to ANN whilst there are no computers ... See full document
8
Tracking a maneuvering target using neural fuzzy network
... Due to the faster computing speed of current computers, more and more systems use the Kalman filter to track the ...targets and the tracking system that lead to target ...tracking ... See full document
18
Applying An Artificial Neural Network To Predict Osteoporosis In The Elderly
... goal and population was different with our study, the specificity was far less than ...participants and the predictors they selected were the possible ...3 to 5 input variables (age, weight, years ... See full document
6
Artificial Neural Network To Predict Skeletal Metastasis In Patients With Prostate Cancer
... three- and four-layer multilayered perceptron net- works, radial basis function network, probabilistic, and generalized regression neural networks) using a combina- tion of ... See full document
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Artificial Neural Network to Predict Skeletal Metastasis in Patients with Prostate Cancer
... three- and four-layer multilayered perceptron net- works, radial basis function network, probabilistic, and generalized regression neural networks) using a combina- tion of ... See full document
10
A Neural Fuzzy Network Approach to Radar Pulse Compression
... A Neural Fuzzy Network Approach to Radar Pulse Compression Fun-Bin Duh, Chia-Feng Juang, Member, IEEE, and Chin-Teng Lin, Senior Member, IEEE Abstract—To make good range ... See full document
6
Using a fuzzy piecewise regression analysis to predict the nonlinear time-series of turbulent flows with automatic change-point detection
... the fuzzy time-series model. The Chen, Song and Tseng fuzzy time-series use the theory of fuzzy relation [33–38] and their models can be used to deal with forecasting problems in ... See full document
26
Applying An Artificial Neural Network To Predict Total Body Water In Hemodialysis Patients
... ANN to predict TBW with data from demographic and anthropometric variables and relevant clinical his- tory – without using radiotracers or ...proved to have better ... See full document
7
Calculation of PID controller parameters by using a fuzzy neural network
... poles to con- trol the dynamic performance of the ...poles and the in- significant poles, as selected by the designer, should most likely be located in the shaded re- gions in ...According to ... See full document
10
Applying an Artifi cial Neural Network to Predict Total Body Water in Hemodialysis Patients
... ANN to predict TBW with data from demographic and anthropometric variables and relevant clinical his- tory – without using radiotracers or ...proved to have better ... See full document
7
Application of neural fuzzy network to pyrometer correction and temperature control in rapid thermal processing
... by using either guard rings or suspector, ...ring and the difference between the outer and edge energy will be ...approach to solving the nonuniformity problem thoroughly is to use a ... See full document
16
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
... link neural network (FLNN) to the consequent part of fuzzy rules for promoting the mapping ...TSK-type fuzzy neural network, the FLNN in the consequent part is a nonlinear ... See full document
12
Predicting two-year quality of life after breast cancer surgery using artificial neural network and linear regression models
... 4.70 to 19.96 %, and most had high predic- tion ...According to global sensitivity analysis, pre-operative functional status was the best predictor of QOL after ...QOL and had higher overall ... See full document
9
Neural Network Modeling to Predict Intact Parathyroid Hormone in Uremic Patients on Continuous Ambulatory Peritoneal Dialysis
... is to train the ANN model using the patients in an independent dialytic unit and validate other cases at another dialytic ...platform using our ANN as kernel engine to let the ... See full document
7
A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction
... CFNN and ARMAX are applied for the prediction of ...better performance than the ARMAX in terms of smaller NRMSE, MAE, and ...underestimated and overes- timated are shown in Tables 3 and ... See full document
12
A neural network to predict multiple functions of genes
... health and medical attitudes in significant changes in symptoms to diagnosis and treatment of diseases, traditional medical methods, and with the growing understanding of the genome, ... See full document
1
Applying Artificial Neural Network to Predict Semiconductor Machine Outliers
... distribution, and reproduction in any medium, provided the original work is properly ...sophisticated and complex ...quality and high solution checking mechanism must rely on the advanced information ... See full document
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