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[PDF] Top 20 Analysis of electromechanical modes using an artificial neural network

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Analysis of electromechanical modes using an artificial neural network

Analysis of electromechanical modes using an artificial neural network

... Artificial neural networks are made up of some neurons (nodes) connected together via links. Informa- tion is stored as connection weights of these links. By distri[r] ... See full document

7

An Implementation of Distributed Framework of Artificial Neural Network for Big Data Analysis

An Implementation of Distributed Framework of Artificial Neural Network for Big Data Analysis

... Keywords: Artificial Neural Network; Big Data Analysis; Data Mining; Distributed Computing; Multilayer Perceptron 【Abstract】 In this research, we introduce a distributed framework of ... See full document

20

An Artificial Neural Network for Double Exposure PIV Image Analysis

An Artificial Neural Network for Double Exposure PIV Image Analysis

... 1998 An artificial neural network for double exposure PIV image analysis ...propagation neural network for PIV image ...pair of image out of the picture, the ... See full document

2

Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis

Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis

... identification of specific oligonucleotides using artificial neural network and computational genomic analysis 作者: Chun-Chi Liu;Chin-Chung Lin;Ker-Chau Li;Wen-Shyen ... See full document

2

Linear discriminant analysis and artificial neural network for glaucoma diagnosis using scanning laser polarimetry-variable cornea compensation measurements in Taiwan Chinese population.

Linear discriminant analysis and artificial neural network for glaucoma diagnosis using scanning laser polarimetry-variable cornea compensation measurements in Taiwan Chinese population.

... value of NFI was generated from an advanced form of neural network ...sample of representative healthy and glaucomatous eyes, and utilized information from the entire RNFL ... See full document

7

Prediction of the hospitalization due to congestive heart failure using an artificial neural network based on doppler echocardiography

Prediction of the hospitalization due to congestive heart failure using an artificial neural network based on doppler echocardiography

... have an acceptable degree of accuracy in predicting the hospitalization due to ...models of ANN analysis is superior to LR analysis for prediction of hospitalization due to ... See full document

6

Applying An Artificial Neural Network To Predict Osteoporosis In The Elderly

Applying An Artificial Neural Network To Predict Osteoporosis In The Elderly

... size of participants and the predictors they selected were the possible ...dataset of 2158 Iranian postmenopausal women whose BMD values were all measured by DEXA ...performance of their ANN model ... See full document

6

Application of Artificial Neural Network to Typhoon Rainfall Forecasting

Application of Artificial Neural Network to Typhoon Rainfall Forecasting

... follows an autoregressive moving-average process and thereby forecast rainfall on this ...performed an analysis on the correlation between soil moisture and precipitation and suggested the ... See full document

13

DISTRIBUTION FEEDER LOSS COMPUTATION BY ARTIFICIAL NEURAL NETWORK

DISTRIBUTION FEEDER LOSS COMPUTATION BY ARTIFICIAL NEURAL NETWORK

... ABSTRACT: This paper proposes an artificial neural network (ANN) based feeder loss calculation model for distribution system analysis.. In this paper, the functional-link [r] ... See full document

3

Application of an Artificial Neural Network to Non-Linear Process Control 劉權輝、涂瑞澤

Application of an Artificial Neural Network to Non-Linear Process Control 劉權輝、涂瑞澤

... framework using neural networks for the modeling and control of a bioreactor, ...production of tryptophan synthetase subunit from recombinant Escherichia coli in a two-stage continuous flow ... See full document

2

Applying Artificial Neural Network to Predict Semiconductor Machine Outliers

Applying Artificial Neural Network to Predict Semiconductor Machine Outliers

... is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly ...demand ... See full document

11

Predicting two-year quality of life after breast cancer surgery using artificial neural network and linear regression models 

Predicting two-year quality of life after breast cancer surgery using artificial neural network and linear regression models 

... supervision of two surgeons in two different med- ical centers, each of whom had performed the highest volume of breast cancer surgery procedures in his respective hospital during the previous 20–30 ... See full document

9

Artificial neural network prediction of clozapine response with combined pharmacogenetic and clinical data

Artificial neural network prediction of clozapine response with combined pharmacogenetic and clinical data

... ANN analysis seems to provide a superior method for the prediction of clozapine ...performance of the ANNs was also assessed by using only genetic or clinical ...the neural ... See full document

9

Clinical Application Of Artificial Neural Network To Predict Creatinine Clearance In Elderly Inpatients

Clinical Application Of Artificial Neural Network To Predict Creatinine Clearance In Elderly Inpatients

... sensitivity analysis, the intelligent problem solver calculated the predictive error ratio for each input variable according to their degree of validity ...total network errors calculated based on ... See full document

6

Clinical Application of Artificial Neural Network to Predict Creatinine Clearance in Elderly Inpatients

Clinical Application of Artificial Neural Network to Predict Creatinine Clearance in Elderly Inpatients

... sensitivity analysis, the intelligent problem solver calculated the predictive error ratio for each input variable according to their degree of validity ...total network errors calculated based on ... See full document

6

Using Artificial Neuron Network on the Impact Characteristics Analysis of Free Overfall Flow

Using Artificial Neuron Network on the Impact Characteristics Analysis of Free Overfall Flow

... conditions of artificial neuron network Training a neural network model essentially means selecting one model from the set of allowed models that minimizes the cost ...training ... See full document

6

Design of artificial neural networks for distribution feeder loss analysis

Design of artificial neural networks for distribution feeder loss analysis

... loss of distribution systems. To improve the efficiency of feeder power loss analysis for distribution systems, ANN-based simplified power loss models have been derived for both overhead feeders and ... See full document

4

Removing Blocking Effects Using An Artificial Neural Network

Removing Blocking Effects Using An Artificial Neural Network

... 上傳時間: 2009-12-17T06:58:16Z 出版者: Asia University 摘要: In this paper, we shall propose a new method that modifies the AC coefficients of the image blocks suffering from blocking effects so as to improve the image ... See full document

1

Predicting Cranial Computed Tomography Results of Head Injury Patients Using an Artificial Neural Network

Predicting Cranial Computed Tomography Results of Head Injury Patients Using an Artificial Neural Network

... We conducted this study to determine if artificial neural network modeling would predict cranial computed tomography results in head injury patients using different combinations of cli[r] ... See full document

1

Predicting Cranial Computed Tomography Results of Head Injury Patients Using an Artificial Neural Network

Predicting Cranial Computed Tomography Results of Head Injury Patients Using an Artificial Neural Network

... We conducted this study to determine if artificial neural network modeling would predict cranial computed tomography results in head injury patients using different combinations of cli[r] ... See full document

1

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