[PDF] Top 20 平成28年度個人情報保護委員会年次報告 年次報告
Has 10000 "平成28年度個人情報保護委員会年次報告 年次報告" found on our website. Below are the top 20 most common "平成28年度個人情報保護委員会年次報告 年次報告".
Artificial neural network prediction of clozapine response with combined pharmacogenetic and clinical data
... single clinical or genetic feature for a specified problem. The hidden layer of neurons receives the data from the input layer, and is connected to the output layer, with multiple con- ... 完全なドキュメントを参照
23
Articial Neural Network Prediction Of Clozapine Response With Combined Pharmacogenetic And Clinical Data
... single clinical or genetic feature for a specified problem. The hidden layer of neurons receives the data from the input layer, and is connected to the output layer, with multiple con- ... 完全なドキュメントを参照
4
Prediction of the hospitalization due to congestive heart failure using an artificial neural network based on doppler echocardiography
... variables and two clinical variables were collated from 7475 patients received cardiac echo examination including OPD and hospitalization ...the network with data from 7475 cases ... 完全なドキュメントを参照
6
Artificial Neural Network To Predict Skeletal Metastasis In Patients With Prostate Cancer
... consequence of limited clinical variables has not been previously constructed by means of an ANN model in patients with prostate cancer who have skeletal ...patients with prostate ... 完全なドキュメントを参照
20
Artificial Neural Network to Predict Skeletal Metastasis in Patients with Prostate Cancer
... consequence of limited clinical variables has not been previously constructed by means of an ANN model in patients with prostate cancer who have skeletal ...patients with prostate ... 完全なドキュメントを参照
47
Syndrome in Patients Treated With Second-Generation Antipsychotics_ Artificial Neural Network and Logistic Regression Models
... speed and neural network theory have facilitated the application of neural networks to the nonlinear analysis of complex data in the psychopharmacologic ...treatment ... 完全なドキュメントを参照
1
Artificial Neural Network Prediction for Cancer Survival Time by Gene Expression Data
... The results shows ANN can predict survival time from Microarray data gene expression and the prediction made by the proposed neural models show a good agreement with the measurements.[r] ... 完全なドキュメントを参照
3
Multi-point tidal prediction using artificial neural network with tide-generating forces
... rise and fall of real ...forces of which the expression can be chosen as the input parameters in the ANN ...(t) and cosφ(t), form an input vector and are related to the output, observed ... 完全なドキュメントを参照
2
Outcome Prediction After Moderate And Severe Head Injury Using An Artificial Neural Network
... Most of these attempts focused on dichotomous result, such as alive vs dead or good outcome vs poor ...levels of outcome, we need more sophisticated ...if artificial neural network ... 完全なドキュメントを参照
2
Clinical Application Of Artificial Neural Network To Predict Creatinine Clearance In Elderly Inpatients
... time-consuming and high-cost procedures, requirement of complex equipments with specialized staffs, or radiation ...In clinical practice, 24-hour urinary collection for Cr clearance (CCr) is ... 完全なドキュメントを参照
1
Clinical Application of Artificial Neural Network to Predict Creatinine Clearance in Elderly Inpatients
... time-consuming and high-cost procedures, requirement of complex equipments with specialized staffs, or radiation ...In clinical practice, 24-hour urinary collection for Cr clearance (CCr) is ... 完全なドキュメントを参照
1
Outcome prediction after moderate and severe head injury using an artificial neural network.
... Most of these attempts focused on dichotomous result, such as alive vs dead or good outcome vs poor ...levels of outcome, we need more sophisticated ...if artificial neural network ... 完全なドキュメントを参照
An Implementation of Distributed Framework of Artificial Neural Network for Big Data Analysis
... 本研究設計一個分散式類神經網路框架以處理巨量資料之即時分析並能在極短的時間內得到 不錯的結果。我們的實驗結果顯示在 24 核心叢集平台上訓練分散式類神經網路模型可於 17 秒收 斂，進行預測時在 0.7 投票閥值（voting threshold）設定下採用分層多重模型（multi-model with stratification）可獲得最多的真陽性結果且準確率達 70%左右。 ... 完全なドキュメントを参照
32
A neural network approach for structural identification and diagnosis of a building from seismic response data
... characteristics of a building and diagnosing whether the building has been damaged by earthquakes, using a back-propagation neural network ...matrices of the neural ... 完全なドキュメントを参照
25
Prediction of burn healing time using artificial neural networks and reflectance spectrometer
... their clinical use remains limited due to problems with methodology and ...intensity of different optical wavelength ranges represents different degrees of burn, Heimbach et ...depth ... 完全なドキュメントを参照
The construction of production performance prediction system for semiconductor manufacturing with artificial neural networks
... throughput and cycle ...order and material ...le of each stage to identify an abnormal situation, and then make corrective ...situation, and then generate corrective actions to prevent ... 完全なドキュメントを参照
2
Combining Structure-Based Features and Conserved Data for MicroRNA Target Prediction by the Neural Network Method
... contribution of this approach presented here is the combination of data from several ...integrating data from multiple species, we stabilize the learning process and construct a model ... 完全なドキュメントを参照
2
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] ... 完全なドキュメントを参照
1
Application of Artificial Neural Network to Typhoon Rainfall Forecasting
... WORDS neural network; typhoon rainfall; forecast; semivariogram INTRODUCTION Rainfall is an important resource in the Taiwan ...island of Taiwan is situated in one of the main paths of ... 完全なドキュメントを参照
1
An evolutionary constructive and pruning algorithm for artificial neural networks and its prediction applications
... use of CBP and ...neurons and prunes the insignificant neurons using a probability ...growth of the ANNs and avoids long-term training for complex ...structures and then provides ... 完全なドキュメントを参照
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