Probabilistic Analysis

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers.

11p vifilm 24-09-2024 4 1   Download

In globalization, the selection of the specifications for design practices depends on the investment agency. For example, steel truss structures can be designed using various codes, such as AISC 360-16 or EC 3. Although most specifications have recently been written in the limit state design approaches, which codes resulting in reasonable design solutions are rarely investigated.

14p vifaye 20-09-2024 1 1   Download

The probabilistic analyses provide a more rational approach for the safety assessment of structures since they consider the uncertainties in the calculations. This study employs the fully probabilistic analysis as an additional analysis to examine the reliability index of an LRFD-based design of the truss structure.

14p vifaye 20-09-2024 3 1   Download

As more Koreans invested in Vietnam, the number of foreign students in Korea increased due to the perception that studying in Korea would be beneficial for employment within Vietnam. Also, the ratio of international students entering graduate school is increasing. In this study, the researches related to Vietnam were investigated, focusing on the articles and papers of journals searched through the Vietnam keyword of the National Assembly Library. We also have examined research trends through Big Data Analysis.

8p sotritu 18-09-2021 6 1   Download

The simulation results demonstrate the possibilistic particle forward-backward smoothing performs well and improves bearings-only tracking performance. Furthermore, possiblistic smoothing also demonstrates better performance than probabilistic smoothing in model-mismatched case.

78p gaocaolon12 13-06-2021 18 4   Download

A COST EFFECTIVENESS AND PROBABILISTIC SENSITIVITY ANALYSIS OF OPPORTUNISTIC SCREENING VERSUS SYSTEMATIC SCREENING FOR SIGHT THREATENING DIABETIC EYE DISEASE Theorem 2. Any equilibrium is perfectly stratified, in the sense that no family lives in a higher-quality, higher-price, or higher-peer-group district than does any higher income family. Corollary 2.1. In any equilibrium, the n families with incomes greater than ( ) N F −1 1− n live in the same community, which has higher quality (xδ +μ ) than any other.

147p mualan_mualan 25-02-2013 59 8   Download

Instructor’s Manual by Thomas H. Cormen, Clara Lee, and Erica Lin to Accompany Introduction to Algorithms, Second Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein Published by The MIT Press and McGraw-Hill Higher Education, an imprint of The McGraw-Hill Companies, Inc., 1221 Avenue of the Americas, New York, NY 10020. Copyright c 2002 by The Massachusetts Institute of Technology and The McGraw-Hill Companies, Inc. All rights reserved.

429p tailieuvip13 19-07-2012 79 8   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Amplitude PDF Analysis of OFDM Signal Using Probabilistic PAPR Reduction Method

7p sting05 09-02-2012 38 6   Download

Definition: The sample space S of an experiment (whose outcome is uncertain) is the set of all possible outcomes of the experiment.

14p quangchien2205 30-03-2011 62 4   Download

Problem: Suppose that each box of cereal contains one of n different coupons. Once you obtain one of every type of coupon, you can send in for a prize. Question: How many boxes of cereal must you buy before obtaining at least one of every type of coupon. Let X be the number of boxes bought until at least one of every type of coupon is obtained. E[X] = nH(n) = nlnn

24p quangchien2205 30-03-2011 47 3   Download

We explore an approach to possibilistic fuzzy c-means clustering that avoids a severe drawback of the conventional approach, namely that the objective function is truly minimized only if all cluster centers are identical. Our approach is based on the idea that this undesired property can be avoided if we introduce a mutual repulsion of the clusters, so that they are forced away from each other. In our experiments we found that in this way we can combine the partitioning property of the probabilistic fuzzy c-means algorithm with the advantages of a possibilistic approach w.r.t.

7p ledung 13-03-2009 183 37   Download