Sensitivity Analysis of Ship Manoeuvring Mathematical Models

Sensitivity analysis of mathematical models of

Modeling the dynamic behavior of signal transduction pathways is an important topic in systems biology. Mathematical models complement experimental technologies used to identify the molecular components and interactions in a system of interest. In this paper, we illustrate different types of mathematical approaches that are used to model signaling network behavior. Here, we review the basic met...

Manoeuvring Assessment in Concept Ship Design

Mathematical Models of Localized Muscle Fatigue: Sensitivity Analysis and Assessment of Two Occupationally-Relevant Models

Muscle fatigue models (MFM) have broad potential application if they can accurately predict muscle capacity and/or endurance time during the execution of diverse tasks. As an initial step toward facilitating improved MFMs, we assessed the sensitivity of selected existing models to their inherent parameters, specifically that model the fatigue and recovery processes, and the accuracy of model pr...

ANN-DEA Integrated Approach for Sensitivity Analysis in Efficiency Models

Here, we examine the capability of artificial neural networks (ANNs) in sensitivity analysis of the parameters of efficiency analysis model, namely data envelopment analysis (DEA). We are mainly interested to observe the required change of a group of parameters when another group goes under a managerial change, maintaining the score of the efficiency. In other words, this methodology provides a...

identification modelling of ship manoeuvring motion based on - ε support vector regression

Based on the ε support vector regression, three modelling methods for the ship manoeuvring motion, i.e., the white-box modelling, the grey-box modelling and the black-box modelling, are investigated. The o o 10 /10 , o o 20 / 20 zigzag tests and the o 35 turning circle manoeuvre are simulated. Part of the simulation data for the o o 20 / 20 zigzag test are used to train the support vectors, and...