Predicting structural deterioration condition of individual storm-water pipes using probabilistic neural networks and multiple logistic regression models /

QR koda

Predicting structural deterioration condition of individual storm-water pipes using probabilistic neural networks and multiple logistic regression models /

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Tran, H. D.
Drugi avtorji:	Ng, A. W. M., Perera, B. J. C.
Format:	Bài viết
Jezik:	English
Teme:	Deterioration Neural networks Probability Regression models Storm-water management Structural failures
Oznake:	Označite Brez oznak, prvi označite!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Podobne knjige/članki

Multiple regression in behavioral research
od: Kerlinger, Fred N.
Izdano: (1973)

Service Life Prediction of Exterior Plastics: Vision for the FutureL
od: White, Christopher C, et al.
Izdano: (2015)

Applied multiple regression/correlation analysis for the behavioral sciences /
od: Cohen, Jacob, 1923-
Izdano: (1983)

Robust learning in a partial least-squares neural network /
od: Ham, Fredric M.

Storm water pollution control : municipal, industrial, and constructin NPDES compliance /
od: Dodson, Roy D.
Izdano: (1999)

Applied linear regression
od: Weisberg, Sanford
Izdano: (2005)

Applied regression analysis
od: Draper, Norman Richard.
Izdano: (1966)

Development of an ensemble dynamic-probabilistic prediction model for tropical storm genesis in the Vietnam East Sea using the Logistic Regression approach
od: Dao, Nguyen Quynh Hoa, et al.
Izdano: (2025)

Applied linear regression models
Izdano: (1996)

Introduction to linear regression analysis
od: Montgomery, Douglas C.
Izdano: (2006)

Applied linear regression models
Izdano: (1983)

Introduction to regression modeling
od: Abraham, Bovas

Applied regression including computing and graphics /
od: Cook, R. Dennis.
Izdano: (1999)

Bão và cách chống bão của tàu thuyền
od: Vũ Phi Hoàng
Izdano: (1974)

Những kiến thức cơ bản về gió bão và tác động của nó lên công trình
Izdano: (1999)

Đường dây tải điện và gió bão
Izdano: (1999)

Hướng dẫn tính toán kết cấu nhà hỗn hợp khi xét trọng tải gió
Izdano: (1999)

Stormwater conveyance modeling and design
od: Methods, Haestad
Izdano: (2003)

Ngôi nhà và gió bão
od: Trương, Nguyên Mân
Izdano: (1999)

Data Analysis Using Regression and Multilevel/Hierarchical Models
od: Gelman, Andrew, et al.
Izdano: (2013)

Localized model selection for regression /
od: Yang, Yuhong.

Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
od: Mandic, Danilo P.
Izdano: (2001)

Acetic acid increases stability of silage under aerobic conditions /

Randomized unbiased nonparametric estimates of nonestimable functionals /
od: Rychlik, Tomasz.

Applied Linear Regression Models
od: Kutner, Michael H.
Izdano: (2005)

Applied linear regression models
od: Kutner, Michael H.
Izdano: (2004)

Predictive density estimation for multiple regression /
od: George, Edward I.

Deep Learning-Based Convolutional Neural Network for Crash Severity Prediction
od: Se, Chamroeun, et al.
Izdano: (2024)

Thermal Degradation of Polymer Blends, Composites and Nanocomposites
od: Visakh, P. M, et al.
Izdano: (2015)

Trace metal and major ion inputs into the olentangy river from an urban storm sewer /
od: Gardner, Christopher B.

Introduction to regression modeling
od: Bovas Abraham
Izdano: (2006)

Regularised maximum-likelihood inference of mixture of experts for regression and clustering
od: Huỳnh, Bảo Tuyên, et al.
Izdano: (2023)

Neural networks : computers with intuition /
od: Brunak, Soren.
Izdano: (1990)

Neural networks : computers with intuition /
od: Brunak, Soren.
Izdano: (1990)

Neural networks : computers with intuition /
od: Brunak, Søren.
Izdano: (1990)

Neural networks :
od: Brunak, Soren
Izdano: (1988)

Foundations of neural networks
od: Khanna, Tarun
Izdano: (1990)

Multiobjective approach for pipe replacement based on bayesian inference of break model parameters /

Three kinds of probabilistic induction : universal distributions and convergence theorems /
od: Solomonoff, Ray J.

Applied regression analysis :
od: Dielman, Terry E.
Izdano: (2005)