039 A decomposition approach to solving large-scale fault diagnosis problems with modular neural networksdoi:10.1016/0967-0661(93)91931-LELSEVIERControl Engineering PracticeLeonard, J. A. and M. A. Kramer (1993). A Decomposition Approach to Solving Large- Scale Fault Diagnosis Problems with Modular...
He told me he believed that working on physical problems was interesting and difficult, and he encouraged me to keep an open mind. I found that I was curious to learn more about the applications of the mathematics I had studied, so upon graduation I took an industrial rather than a ...
Coupled fluid–solid phase continuum problems associated with large deformation as geotechnics experts encounter in slope stability problems have been extensively reviewed. This has been done with a view to exploring the most efficient numerical approach to solving them for the sake of our environment. ...
The promise of genome sequencing was that the vast undiscovered country would be mapped out by comparison of the multitude of sequences available and would aid researchers in deciphering the role of each gene in every organism. Researchers recognize that
Nowadays self-service bike sharing systems are flourishing all over the world. The exploitation of such transport systems implies various problems and one of them is to ensure people that they will be able to find a bike or to park it at each station all the day long. Therefore, a regulati...
However, due to the resource limitation in a large number of real-world problems, the urban postal network may not be able to provide a desired level of coverage to all customers. Thus, this paper focuses on improving the accessibility of an urban postal service system with a limited number...
the dog during the cognition test battery. full size table all tests involved solving various problems with food rewards. the owners were asked to bring the dog's favourite treats, which were then used as rewards. in some cases, a toy was also used, if the dog was more motivated by ...
Monotonically convergent iteration processes for solving discretized nonlinear boundary value problemsmsc:65H10, msc:65N22, msc:65N30W. Törnig
This paper presents iterative determinant method for solving eigenvalue problems. A matlab program that operates iterative to evaluate the determinant of the problem was written. In the program, a trial eigenvalue is used in the program to compute the determinant. A small value (iterator) is ...
H1: learning anxiety predicts the solution of mathematical problems in a positive and meaningful way. Learning anxiety and learning motivation The relationship between learning anxiety and learning motivation has been a topic of interest in educational psychology. Learning anxiety can negatively affect a ...