Titlebook: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems; Ivan Zelinka,Guanrong Chen,Ajith Abraham Conference proceedings 20

招惹

Astroinformatics: Getting New Knowledge from the Astronomical Data Avalanche,etectors and large-scale multi-dimensional computer simulations stored in the worldwide network of distributed archives. As the data volumes have been growing faster than computer technology can cope with, a qualitatively new research methodology called Data Intensive Science or X-informatics is req

竊喜

Utilising the Chaos-Induced Discrete Self Organising Migrating Algorithm to Schedule the Lot-Streamtic based algorithm is applied to the constraint based Lot-Streaming Flowshop scheduling problem. Two new and unique data sets generated using the Lozi and Dissipative maps are used to compare the chaos embedded DSOMA (DSOMAc) and the generic DSOMA utilising the venerableMersenne Twister. In total,

GLIDE

,Hidden Periodicity – Chaos Dependance on Numerical Precision,en used on numerous occasions in place of random number generators in so called evolutionary algorithms. When compared to random generators, chaotic systems generate values via so called map function that is deterministic and thus, the next value can be calculated, i.e. between elements of random se

合乎習(xí)俗

Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of robust feedback control law. This universal synthesized robust chaotic controller secures the fully stabilization of selected set of three discrete chaotic systems. The paper consists of the descriptions of analytic programming as well as selected chaotic systems, used heuristic and cost function d

Acumen

Chaos Powered Selected Evolutionary Algorithms,e solutions, crossing etc. In this paper we are dealing with the effect of different pseudo-random numbers generators on the course of evolution and the speed of their convergence to the global minimum. From evolution algorithms the differential evolution and self organizing migrating algorithm have

憎惡

BIAS

COW

使殘廢

Unknown Input Proportional Integral Observer Design for Chaotic TS Fuzzy Models,aotic model subject to unknown input and unmeasurable decision variables. This unknown input is considered like a message to encode by a chaotic system then to decode or to reconstruct by the PIO after to be transmitted by a public transmission canal in order to a secure communication system. In our

棲息地

Modeling of EEG Signal with Homeostatic Neural Network,hat it is data driven method that doesn′t require extensive understanding of the process. This paper presents a new type of neural network that was tested on the modeling of EEG signal. The performance of this network was compared to traditional NN methods. The novelty of this network consists in th