this paper describes a study of operational parameters by using the multivariate data analysis and neural networks for a municipal waste incinerator located in majorca (spain). the basis of the study also includes the chemometric techniques: linear multivariate regression to develop a model with certain predictive capabilities; linear principal component analysis, which allow the number of vari...

achieving the millennium development goals has proven to be a real challenge. providing evidence on cost-effective interventions did not prove to be sufficient to secure the trust of national authorities, health care providers and patients. introducing change in a health system requires a good understanding of the relationships between the actors of the system. social network analysis can provi...

In this paper, stochastic bidirectional associative memory neural networks with constant or time-varying delays is considered. Based on a Lyapunov-Krasovskii functional and the stochastic stability analysis theory, we derive several sufficient conditions in order to guarantee the global asymptotically stable in the mean square. Our investigation shows that the stochastic bidirectional associati...

A method ofK-set canonical correlation analysis capable of joint multivariate nonlinear transformations of data was proposed. The method consists ofK nonlinear data transformation modules, each of which is a multilayered feed-forward network, and one integrator module which combines information from the K transformation modules. The proposed method is useful for integrating information from K c...

Possible application of a new neural network suitable for binary factorization of signals of large dimension and complexity is introduced. We developed the new recall procedure of Hoppfield-like associative memory which allows search all attractors corresponding to factors (a true attrac-tor). Necessary separation of spurious attractors is based on calculation of their Lyapunov function. Being ...

1 Competence Centre for Functional Genomics, Institute for Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Str. 15, 17487 Greifswald, Germany, [email protected] [email protected] 2 Institute for Biochemistry and Biology, University of Potsdam, c/o Max Planck Institute for Molecular Plant Physiology Am Mühlenberg 1, 14424 Potsdam, Germany, Selb...

nonlinear analyses allow simulating, in a more realistic way, the behaviour of structuressubjected to several types of complex loading conditions such as earthquakes. however, it isrecognized that these analyses normally generate a considerable amount of results, a factorthat difficult its interpretation. over the last years, considerable progresses have been made instructural nonlinear behavio...

this paper presents a new observer-based control scheme for a class of nonlinear systems. in the proposed method, nonlinear observer and twisting algorithm controller are employed to realize a sensor-less control strategy for complex systems which makes use of non measurable process information instead of installing as many sensors as possible. due to lack of availability of the complex system ...