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引文資料
題名:
層級貝氏類神經網路方法在建構可靠度預估模式上之應用
書刊名:
品質學報
作者:
邱志洲
/
廖子毅
/
高淩菁
/
鐘振聲
作者(外文):
Chiu, Chih-chou
/
Liaw, Chih-yi
/
Kao, Ling Jing
/
Chung, Chen-sheng
出版日期:
2006
卷期:
13:3
頁次:
頁221-240
主題關鍵詞:
層級貝氏類神經網路模式
;
衰退過程
;
失效時間
;
馬可夫鏈蒙地卡羅
;
Hierarchical Bayesian neural network model
;
Degradation process
;
Failure time
;
Markov chain monte carlo
原始連結:
連回原系統網址
相關次數:
被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
排除自我引用:0
共同引用:0
點閱:27
期刊論文
1.
Akama, M.(2002)。Bayesian analysis for the results of fatigue test using full-scale models to obtain the accurate failure probabilities of the Shinkansen vehicle axle。Reliability Engineering and System Safety,75,321-332。
2.
Bishop, C. M.(1993)。Curvature-driven smoothing: A learning algorithm for feed-forward networks。IEEE Transactions on Neural Networks,4(5),882-884。
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Breiman, Leo(2001)。Statistical Modeling: The Two Cultures。Statistical Science,16(3),199-231。
4.
Brooks, S. P.(1998)。Markov Chain Monte Carlo Method and its Application。The Statistician,47(1),69-100。
5.
Casella, G.、George, E.(1992)。Explaining the Gibbs Sampler。The American Statistician,46,167-174。
6.
Chang, D. S.、Chiu, C. C.、Jiang, S. T.(1999)。Modeling And Reliability Prediction for the Step-Stress Degradation Measurements Using Neural Network Methodology。International Journal of Reliability, Quality and Safety Engineering,6(3),277-288。
7.
Chinnam, R. B.(1999)。On-line Estimation of Individual Components Using Degradation Signals。IEEE Transactionson Reliability,48(4),403-412。
8.
Doksum K. A.、Hóyland, A.(1992)。Models for Variable-Stress Accelerated Life Testing Experiments based on Wiener Processes and the Inverse Gaussian Distribution。Technometrics,34,74-82。
9.
Handcock, M. S.、Wallis, J.(1994)。An Approach to Statistical Spatial-T emporal-Modeling of Meteorological Fields (with discussion)。Journal of American Statistical Association,89,363-378。
10.
Holmes, C. C.、Mallick, B. K.(1998)。Bayesian Radial Basis Functions of Variable Dimension。Neural Computation,10,1217-1233。
11.
Holmes, C. C.、Mallick, B. K.(2000)。Bayesian Wavelet Networks for Nonparametric Regression。IEEE Transaction on Neural Networks,11,27-35。
12.
Hwang, J. T.、Ding, A. A.(1997)。Prediction Intervals in Artificial Neural Networks。The Journal of American Statistic Association,92,438-748。
13.
Ibrahim, J. G.、Ryan, L. M.、Chen, M(1998)。Using Historical Controls to Adjust for Covariates in Trend Tests for Binary Data。Journal of the American Statistical Association,93,1282-1293。
14.
Ibrahim, J. G.、Chen, M.-H.(2000)。Power Prior Distributions for Regression Models。Statistical Science,15,46-60。
15.
Liski, E. P.、Nummi, T.(1996)。Prediction in Repeated-Measures Models With Engineering Applications。Technometrics,38,25-36。
16.
Liu, S. I.(2001)。Bayesian Model Determination for Binary Time series Data with Applications。Computational Statistics & Data Analysis,36,461-473。
17.
Lu, J. C.、Meeker, W. Q.、Escobar, L. A.(1996)。A Comparison of Degradation and Failure Distribution Analysis Methods of Estimating a Time-to-Failure Distribution。Statistic Sinica,6,531-546。
18.
Mackay, D. J. C.(1992)。A Practical Bayesian Framework for Backprop Networks。Neural Computation,4,448-472。
19.
MacKay, D. J. C.(1995)。Probable networks and plausible predictions--a review of practical Bayesian methods for supervised neural networks。Network: Computation in Neural Systems,6(3),469-505。
20.
Meeker, W. Q.、Escobar, L. A.(1993)。A Review of Recent Research and Current Issue in Accelerated Testing。International Statistical Review,61,147-168。
21.
Meeker, W. Q.、Hamada, M.(1995)。Statistical Tools for the Rapid Development & Evaluation of High Reliability Product。IEEE Transactions on Reliability,44,187-198。
22.
Müller, P.、Rios Insua, D.(1998)。Issues in Bayesian Analysis of Neural Network Models。Neural Computation,10,571-592。
23.
Padgett, W. J.(1979)。Confidence Bounds on Reliability for the Inverse Gaussian Model。IEEE Transactions on Reliability,28,165-168。
24.
Tang, L. C.、Chang, D. S.(1994)。Tolerance Limits for Inverse Gaussian Distribution。Journal of Statistical Computation and Simulation,51(1),21-29。
25.
Tang, L. C.、Chang, D. S.(1994)。Reliability Bounds and Tolerance Limits ff 2 Inverse Gaussian Models。Microelectron Reliab,34(2),247-259。
26.
Tang, L. C.、Chang, D. S.(1995)。Reliability Prediction Using Nondestructive Accelerated-Degradation data: Case Study on Power Supplies。IEEE Transactions on Reliability,44,562-566。
27.
Zhang, R.、Mahadevan, S.(2000)。Model uncertainty and Bayesian updating in reliability-based inspection。Structural Safety,22,145-160。
28.
Zheng, R.、Ellingwood, B. R.(1998)。Stochastic Fatigue Crack Growth in Steel Structures Subjected to Random Loading。Structural Safety,20(4),305-324。
29.
Buntine, W. L.、Weigand, A. S.(1991)。Bayesian Back-Propagation。Complex Systems,5,603-643。
30.
Lu, J. C.、Meeker, W. Q.(1993)。Using Degradation Measures to Estimate a Time-to-Failure Distribution。Technometrics,35(2),161-174。
31.
Stern, H. S.(1996)。Neural networks in applied statistics。Technometrics,38(3),205-214。
32.
Gelfand, Alan E.、Smith, Adrian F. M.(1990)。Sampling-Based Approaches to Calculating Marginal Densities。Journal of the American Statistical Association,85(410),398-409。
33.
Chib, Siddhartha、Greenberg, Edward(1995)。Understanding the Metropolis-Hastings Algorithm。American Statistician,49(4),327-335。
會議論文
1.
Karunanithi, N.、Whitley, D.、Malaiya, Y.(199105)。Prediction of software reliability using neural networks。1991 International Symposium on Software Reliability Engineering,124-130。
研究報告
1.
Neal, R. M.(1992)。Bayesian training of backpropagation networks by the hybrid Monte Carlo method。Dept. of Computer Science, University of Toronto。
學位論文
1.
Lenk, Peter J.(1985)。Bayesian Inference(博士論文)。The University of Michigan,Ann Arbor。
圖書
1.
Bogdanoff, J. L.、Kozin, F.(1984)。Probabilistic Models of Cumulative Damage。New York:John Wiely。
2.
Carlin, B. P.、Louis, T. A.(2000)。Bayes and Empirical Bayes Methods for Data Analysis。London:CRC Press。
3.
Gelman, A.、Carlin, J. B.、Stern, H. S.、Rubin, D. B.(1995)。Bayesian Data Analysis。London:Chapman Hall。
4.
Neal, R. M.(1996)。Bayesian Learning for Neural Networks。New York:Springer-Verlag。
5.
Nelson, W.(1990)。Accelerated Testing: Statistical Models, Test Plans, and Data Analyses。New York:John Wiley and Sons。
6.
Bernardo, J. M.、Smith, A. F. M.(1994)。Bayesian Theory。John Wiley and Sons。
7.
Robert, C. P.、Casella, G.(1999)。Monte Carlo Statistical Methods。New York:Springer-Verlag。
8.
Meeker, W. Q.、Escobar, L. A.(1998)。Statistical Methods for Reliability Data。New York, NY:John Wiley and Sons。
圖書論文
1.
Rumelhart, D. E.、Hinton, G. E.、Williams, R. J.(1986)。Learning Internal Representations by Error Propagation。Parallel distributed processing: explorations in the microstructure of cognition。Cambridge, MA:MIT Press。
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