Using Predictive Modeling Techniques to Solve Multilevel Systems Design Problems

2010 ◽  
Author(s):  
Richard Malak ◽  
Edgar Galvan
Keyword(s):  
Predictive Modeling ◽  
Systems Design ◽  
Design Problems ◽  
Multilevel Systems ◽  
Modeling Techniques

Predictive modeling techniques of software quality from software measures

1992 ◽  
Vol 18 (11) ◽  
pp. 979-987 ◽  
Author(s):  
T.M. Khoshgoftaar ◽  
J.C. Munson ◽  
B.B. Bhattacharya ◽  
G.D. Richardson
Keyword(s):  
Predictive Modeling ◽  
Software Quality ◽  
Modeling Techniques ◽  
Software Measures

Multiobjective Collaborative Optimization

1997 ◽  
Author(s):  
Ravindra V. Tappeta ◽  
John E. Renaud
Keyword(s):  
System Design ◽  
Systems Design ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Accurate Estimation ◽  
Successful Implementation ◽  
Design Environment ◽  
Comprehensive Overview ◽  
Design Problems ◽  
Multidisciplinary Systems

Abstract This investigation focuses on the development of modifications to the Collaborative Optimization (CO) approach to multidisciplinary systems design, that will provide solution capabilities for multiobjective problems. The primary goal of this research is to provide a comprehensive overview and development of mathematically rigorous optimization strategies for MultiObjective Collaborative Optimization (MOCO). Collaborative Optimization strategies provide design optimization capabilities to discipline designers within a multidisciplinary design environment. To date these CO strategies have primarily been applied to system design problems which have a single objective function. Recent investigations involving multidisciplinary design simulators have reported success in applying CO to multiobjective system design problems. In this research three MultiObjective Collaborative Optimization (MOCO) strategies are developed, reviewed and implemented in a comparative study. The goal of this effort is to provide an in depth comparison of different MOCO strategies available to system designers. Each of the three strategies makes use of parameter sensitivities within multilevel solution strategies. In implementation studies, each of the three MOCO strategies is effective in solving two multiobjective multidisciplinary systems design problems. Results indicate that these MOCO strategies require an accurate estimation of parameter sensitivities for successful implementation. In each of the three MOCO strategies these parameter sensitivities are obtained using post-optimality analysis techniques.

Recent Experience in Model-Scale Simulation of Tension Leg Platforms

1984 ◽  
Vol 21 (02) ◽  
pp. 186-200
Author(s):  
Jeffrey T. Dillingham
Keyword(s):  
Data Processing ◽  
Model Tests ◽  
Recent Model ◽  
Future Research ◽  
Recent Experience ◽  
Focal Points ◽  
Design Problems ◽  
General Review ◽  
Research Areas ◽  
Modeling Techniques

Several recent model tests of tension leg platforms (TLP's) are described. Some new and challenging design problems which are unique to tension leg platforms have become the focal points of these tests. These have required the development of new modeling techniques and methods of data processing. A general review of TLP characteristics and modeling requirements is presented along with a description of recent test programs and modeling techniques. Research areas of particular interest in the recent tests are described and some recommendations for future research are made.

An Analysis of the Use of Predictive Modeling with Business Intelligence Systems for Exploration of Precious Metals Using Biogeochemical Data

2013 ◽  
Vol 4 (2) ◽  
pp. 39-53 ◽  
Author(s):  
Thomas A. Woolman ◽  
John C. Yi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Anomaly Detection ◽  
Predictive Modeling ◽  
Business Intelligence ◽  
Precious Metals ◽  
Geological Exploration ◽  
Feed Forward ◽  
Business Intelligence Systems ◽  
Modeling Techniques

This study addresses the use of predictive modeling techniques; primarily feed-forward artificial neural networks as a tool for forecasting geological exploration targets for gold prospecting. It also provides evidence of effectiveness of using Business Intelligence systems to model pathfinder variables, anomaly detection, and forecasting to locate potential exploration sites for precious metals. The results indicate that the use of advanced Business Intelligence systems can be of extremely high value to the extractive minerals exploration industry.

Aggregation for Predictive Modeling with Relational Data

2011 ◽  
pp. 33-38
Author(s):  
Claudia Perlich ◽  
Foster Provost
Keyword(s):  
Data Mining ◽  
Predictive Modeling ◽  
Relational Databases ◽  
Feature Vector ◽  
Relational Data ◽  
Government Organizations ◽  
Modeling Techniques ◽  
Aggregation Of Information ◽  
New Challenges

Most data mining and modeling techniques have been developed for data represented as a single table, where every row is a feature vector that captures the characteristics of an observation. However, data in most domains are not of this form and consist of multiple tables with several types of entities. Such relational data are ubiquitous; both because of the large number of multi-table relational databases kept by businesses and government organizations, and because of the natural, linked nature of people, organizations, computers, and etc. Relational data pose new challenges for modeling and data mining, including the exploration of related entities and the aggregation of information from multi-sets (“bags”) of related entities.

Multiobjective Collaborative Optimization

1997 ◽  
Vol 119 (3) ◽  
pp. 403-411 ◽  
Author(s):  
R. V. Tappeta ◽  
J. E. Renaud
Keyword(s):  
System Design ◽  
Systems Design ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Accurate Estimation ◽  
Successful Implementation ◽  
Design Environment ◽  
Comprehensive Overview ◽  
Design Problems ◽  
Multidisciplinary Systems

This investigation focuses on the development of modifications to the Collaborative Optimization (CO) approach to multidisciplinary systems design, that will provide solution capabilities for multiobjective problems. The primary goal of this paper is to provide a comprehensive overview and development of mathematically rigorous optimization strategies for Multiobjective Collaborative Optimization (MOCO). Collaborative Optimization strategies provide design optimization capabilities to discipline designers within a multidisciplinary design environment. To date these CO strategies have primarily been applied to system design problems which have a single objective function. Recent investigations involving multidisciplinary design simulators have reported success in applying CO to multiobjective system design problems. In this research three Multiobjective Collaborative Optimization (MOCO) strategies are developed, reviewed and implemented in a comparative study. The goal of this effort is to provide an in depth comparison of different MOCO strategies available to system designers. Each of the three strategies makes use of parameter sensitivities within multilevel solution strategies. In implementation studies, each of the three MOCO strategies is effective in solving a multiobjective multidisciplinary systems design problem. Results indicate that these MOCO strategies require an accurate estimation of parameter sensitivities for successful implementation. In each of the three MOCO strategies these parameter sensitivities are obtained using post-optimality analysis techniques.

Dynamic System Synthesis With a Bond Graph Approach: Part II—Conceptual Design of an Inertial Velocity Indicator

1993 ◽  
Vol 115 (3) ◽  
pp. 364-369 ◽  
Author(s):  
R. C. Redfield
Keyword(s):  
Conceptual Design ◽  
Vibration Isolation ◽  
Synthesis Method ◽  
Design Procedure ◽  
Systems Design ◽  
Design Problems ◽  
Performance Requirements ◽  
Output Performance ◽  
Response Performance ◽  
Dissipation Elements

This work develops the conceptual design of an inertial velocity sensor drawing upon the impedance synthesis method in Part I of this paper. Specifications are frequency based impedances and resulting designs are configurations of dynamic energy storing and dissipation elements. The design procedure can be extended to a class of systems design problems where frequency response performance is of primary importance. A key to this work is that the method designs systems from scratch; initial configurations are unknown. As a theme example to demonstrate the utility of the method for conceptual design, constrained and unconstrained inertial velocity sensors are configured based on input-output performance requirements. Such sensors find application in many motion control problems including mechanism and manipulator control, and vibration isolation control. The design methodology generates a number of different sensors that can measure absolute velocity for some or all ranges of frequency.

Understanding systematic and random CD variations using predictive modeling techniques

1999 ◽  
Author(s):  
Donis G. Flagello ◽  
Hans van der Laan ◽  
Jan B. van Schoot ◽  
Igor Bouchoms ◽  
Bernd Geh
Keyword(s):  
Predictive Modeling ◽  
Modeling Techniques

Structured to Succeed? Strategy Dynamics in Engineering Systems Design and Their Effect on Collective Performance

2020 ◽  
Vol 142 (12) ◽  
Author(s):  
Ambrosio Valencia-Romero ◽  
Paul T. Grogan
Keyword(s):  
Systems Design ◽  
Individual Values ◽  
Social Constructs ◽  
Design Problems ◽  
Individual Outcomes ◽  
Trade Offs ◽  
Level Model ◽  
Collective Performance ◽  
Initial Description ◽  
Future Work

Abstract Strategy dynamics are hypothesized to be a structural factor of interactive multi-actor design problems that influence collective performance and behaviors of design actors. Using a bi-level model of collective decision processes based on design optimization and strategy selection, we formulate a series of two-actor parameter design tasks that exhibit four strategy dynamics (harmony, coexistence, bistability, and defection) associated with low and high levels of structural fear and greed. In these tasks, design actor pairs work collectively to maximize their individual values while managing the trade-offs between aligning with or deviating from a mutually beneficial collective strategy. Results from a human subject design experiment indicate cognizant actors generally follow normative predictions for some strategy dynamics (harmony and coexistence) but not strictly for others (bistability and defection). Cumulative link model regression analysis shows that a greed factor contributing to strategy dynamics has a stronger effect on collective efficiency and equality of individual outcomes compared to a fear factor. Results of this study provide an initial description of strategy dynamics in engineering design and help to frame future work to mitigate potential unfavorable effects of their underlying strategy dynamics through social constructs or mechanism design.

Sign in / Sign up

Export Citation Format

Share Document