Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
This paper aims at providing an in-depth overview of designing interpretable fuzzy inference
models from data within a unified framework. The objective of complex system modelling is …
models from data within a unified framework. The objective of complex system modelling is …
Model selection approaches for non-linear system identification: a review
The identification of non-linear systems using only observed finite datasets has become a
mature research area over the last two decades. A class of linear-in-the-parameter models …
mature research area over the last two decades. A class of linear-in-the-parameter models …
The impact of contractors' attributes on construction project success: A post construction evaluation
JI Alzahrani, MW Emsley - International journal of project management, 2013 - Elsevier
The success of construction projects is a fundamental issue for most governments, users
and communities. In the literature that deals with construction project success and causes of …
and communities. In the literature that deals with construction project success and causes of …
[책][B] Evolving fuzzy systems-methodologies, advanced concepts and applications
E Lughofer - 2011 - Springer
In today's industrial systems, economic markets, life and health-care sciences fuzzy systems
play an important role in many application scenarios such as system identification, fault …
play an important role in many application scenarios such as system identification, fault …
Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …
A critical review of microscale mechanical testing methods used in the design of microelectromechanical systems
VT Srikar, SM Spearing - Experimental mechanics, 2003 - Springer
Microelectromechanical systems (MEMS) technologies are evolving at a rapid rate with
increasing activity in the design, fabrication, and commercialization of a wide variety of …
increasing activity in the design, fabrication, and commercialization of a wide variety of …
A derivative-free Kalman filtering approach to state estimation-based control of nonlinear systems
GG Rigatos - IEEE transactions on industrial electronics, 2011 - ieeexplore.ieee.org
For nonlinear systems, subject to Gaussian noise, the extended Kalman filter (EKF) is
frequently applied for estimating the system's state vector from output measurements. The …
frequently applied for estimating the system's state vector from output measurements. The …
Real-time fault diagnosis using knowledge-based expert system
Abnormal operating conditions (faults) cost process industry billons of dollars per year and
can be prevented if they are predicted and controlled in advance. Advanced software …
can be prevented if they are predicted and controlled in advance. Advanced software …
Nonlinear system identification via direct weight optimization
A general framework for estimating nonlinear functions and systems is described and
analyzed in this paper. Identification of a system is seen as estimation of a predictor function …
analyzed in this paper. Identification of a system is seen as estimation of a predictor function …