Robust stability analysis of fuzzy neural network with delays.
Rule weights in a neuro-fuzzy system with a hierarchical domain partition
The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.
Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics
In this paper we analyze the stochastic version of a minimalistic multi-strain model, which captures essential differences between primary and secondary infections in dengue fever epidemiology, and investigate the interplay between stochasticity, seasonality and import. The introduction of stochasticity is needed to explain the fluctuations observed in some of the available data sets, revealing a scenario where noise and complex deterministic skeleton...
Self-Assembly of Icosahedral Viral Capsids: the Combinatorial Analysis Approach
An analysis of all possible icosahedral viral capsids is proposed. It takes into account the diversity of coat proteins and their positioning in elementary pentagonal and hexagonal configurations, leading to definite capsid size. We show that the self-organization of observed capsids during their production implies a definite composition and configuration of elementary building blocks. The exact number of different protein dimers is related to the...
Self-learning facial emotional feature selection based on rough set theory.
Serveis estadístics. Preparant-se per al futur.
El objetivo de este análisis es mirar hacia adelante: cuáles son los retos a los que se enfrentan las agencias de estadística y cómo han de encararlos. Se analiza el contexto dentro del cual han de evolucionar los institutos de estadística: las principales fuerzas que modifican la economía y la sociedad, las medidas políticas nuevas que aparentemente requieren información estadística nueva o adicional y los cambios en la naturaleza de los gobiernos que tienen repercusiones significativas para los...
Simulating Kinetic Processes in Time and Space on a Lattice
We have developed a chemical kinetics simulation that can be used as both an educational and research tool. The simulator is designed as an accessible, open-source project that can be run on a laptop with a student-friendly interface. The application can potentially be scaled to run in parallel for large simulations. The simulation has been successfully used in a classroom setting for teaching basic electrochemical properties. We have shown that...
Sobre la conveniencia de la existencia de un área de bioestadística.
La conveniencia de que todos los profesores de Bioestadística en España se encuentren aglutinados en una única Area de Conocimiento ha sido reiteradamente expuesta por este colectivo en más de una ocasión (I Jornadas de Bioestadística, Barcelona, septiembre de 1984; solicitud al Consejo de Universidades de 28-5-87 y, más recientemente, la de 16-3-95).
Solution of multi-delay systems via combined block-pulse functions and Legendre polynomials.
Some Parameter Estimation Issues in Functional-Structural Plant Modelling
The development of functional-structural plant models has opened interesting perspectives for a better understanding of plant growth as well as for potential applications in breeding or decision aid in farm management. Parameterization of such models is however a difficult issue due to the complexity of the involved biological processes and the interactions between these processes. The estimation of parameters from experimental data by inverse methods...
Spatial discretization of an impulsive Cohen-Grossberg neural network with time-varying and distributed delays and reaction-diffusion terms.
Stability analysis of discrete Hopfield neural networks with the nonnegative definite monotone increasing weight function matrix.
Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality
This paper is devoted to studying the globally exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays. In the process of impulsive effect, nonlinear and delayed factors are simultaneously considered. A new impulsive differential inequality is derived based on the Lyapunov-Razumikhin method and some novel stability criteria are then given. These conditions, ensuring the global exponential stability, are simpler and less conservative than some of the previous...
Stability analysis of recurrent neural networks with random delay and Markovian switching.
Stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays.
Stability and bifurcation in a simplified four-neuron bam neural network with multiple delays.
Stability and bifurcation of a class of discrete-time Cohen-Grossberg neural networks with delays.
Stability of cellular neural networks with unbounded time-varying delays.
Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays
The paper is concerned with stability analysis for a class of impulsive Hopfield neural networks with Markovian jumping parameters and time-varying delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process. By employing a Lyapunov functional approach, new delay-dependent stochastic stability criteria are obtained in terms of linear matrix inequalities (LMIs). The proposed criteria can be easily checked by using some standard numerical...
Stabilization and control of some microbial populations