Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 12 of 12 for “"predictor model"”.
-
Two-time-scale predictor model using scan of anticipated input.
Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Thesis. 1965. M.S.
-
Relationship of Intention, Goals, and Cognitive Risk -Taking to Expertise in Technical Troubleshooting
… of the relationships were made using a three-predictor model and multiple regression procedures. Results showed that intention, goals, and cognitive risk-taking account for 27% (R2) of the variance in expertise (F (3, 71) = 8.56, p = .01). These findings indicate that an affective component …
-
Tabular Machine Learning on Small-Size and High-Dimensional Data
… improve the generalisation of machine learning models on small-size and high-dimensional tabular datasets. Tabular data – tables where each row represents an individual record and each column represents features – is ubiquitous in critical fields such as medicine, scientific research and …
-
A unified graphical approach for a PID controller design with a Smith predictor
… design a PID controller augmented with a Smith predictor so that the closed loop system with deadtime meets nominal stability (NS), nominal performance (NP), robust stability (RS) and robust performance (RP) design requirements. Next, this research will report on the effects of the presence of a …
-
Application of probabilistic deep learning models to simulate thermal power plant processes
… the best performing architectures for these models. Comparisons are drawn between the MDN model versus standard model architecture in both case studies. The HTC predictor model achieved 90% accuracy which equates to an average error of 4.89 W m2K across all heat exchangers. The resultant …
-
Comparison of the abilities of historical and current cost information to predict funds flows
… would have the potential to be better predictors of funds flows than the others. Since industry differences would affect current cost versus historical cost measurements as well as a firm's ability to pass along price changes, industry classification would have an effect on the funds …
-
Ancestry-independent osteometric sex estimation from selected postcranial skeletal elements of South Africans: a machine learning approach
… to train ancestry independent sex classification models using postcranial osteometric measurements from the cadaveric skeletal remains of modern South Africans, focussing on long bone joints. The study consisted of a roughly demographically representative, pooled sample, of 650 South Africans (325 …
-
COMPETING FOR RESOURCES: WORKING MEMORY AND PERFORMANCE ANXIETY IN U.S. PIANO STUDENTS
… working memory remained a significant predictor after controlling for depression, state anxiety, and social anxiety (β = .176, p = .029), with the four-predictor model explaining 51.8% of K-MPAI variance. State anxiety partially mediated the working memory–MPA relationship, accounting …
-
Public Participation In Transportation: An Emperical Test For Authentic Participation
… exist in public participation. The result was a Model of Authentic Public Participation that served as the basis for creation of a new four-tiered methodology to assess the performance of these districts relative to authenticity requirements. This study also sought to identify the key …
-
Job Satisfaction and its Relationship to Organizational Commitment and Religious Commitment for Andrews University Employees
… commitment and job satisfaction. A seven-predictor model explained 44.2% of the variance of organizational commitment. Different predictor models were found for the four occupational subgroups. Religious commitment did not have a mediating effect on the relationship between job …
-
Predicting student performance on the Texas Assessment of Academic Skills Exit Level Exam: Predictor modeling through logistic regression.
The purpose of this study was to investigate predicting student success on one example of a "high stakes" test, the Texas Assessment of Academic Skills Exit Level Exam. Prediction algorithms for the mathematics, reading, and writing portions of the test were formulated using SPSS® statistical …
-
Manifold learning techniques and statistical approaches applied to the disruption prediction in tokamaks
… has not gone so far as to provide an analytical model describing the onset of these instabilities and the main effort has been devoted to develop data-based methods. In the present thesis the development of a reliable disruption prediction system has been investigated using several data-based …