Search results for: Juan A. Pérez Ortiz

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chapter

Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters

Juan A. Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck

Lecture Notes in Computer Science > Artificial Neural Networks — ICANN 2002 > Signal and Time Series Analysis > 1055-1060

Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) outperform traditional RNNs when dealing with sequences involving not only short-term but also long-term dependencies. The decoupled extended Kalman filter learning algorithm (DEKF) works well in online environments and reduces significantly the number of training steps when compared to the standard gradient-descent algorithms. Previous...

article

Models for Oscillating Polymerization: Activation by Product in a System with Flow

ISSA KATIME, JUAN A. PÉREZ ORTIZ, JOSÉ A. MORALES, EDUARDO MENDIZÁBAL

International Journal of Chemical Kinetics > 46 > 7 > 405 - 417

In this work, four polymerization mechanisms with flow are proposed where sustained oscillation can be present: (1) Polyaddition initiated by radicals produced by initiator decomposition, which is catalyzed by the polymer, first‐order termination, a polymer disappears by a reaction with a third substance and by leaving the system in the exit flow. (2) Polycondensation where the polymer has catalytic...

article

Simple models of oscillating polymerizations:Dimeric form autocatalysis

Issa Katime, Juan A. Pérez Ortiz, Eduardo Mendizábal

Chemical Engineering Science > 2011 > 66 > 10 > 2261-2265

For two variable chemical oscillators, a simple strategy is to combine autocatalysis with a term including a binomial Michaelian denominator (constant+concentration). This strategy is applied in this paper to the context of polymerization reactions. In order to achieve autocatalysis a kinetic scheme of the form {A+M⟹λDD⟹δ2M is applied, where the dimeric form D is included. The Michaelian term can...

article

Minimum models of damped and limit cycle oscillations in a polymerization

Issa Katime, Juan A. Pérez Ortiz, Fabio Zuluaga, Eduardo Mendizábal

Chemical Engineering Science > 2010 > 65 > 23 > 6292-6295

A simple polymerization scheme{X→R1Rj+X→Rj+1(j=1,2,…,∞)Ri+Rj→polymer(i=1,2,…∞;j=1,2,…,∞)has been studied introducing small modifications leading to a stable focus type steady state (with damped oscillations) or unstable focus type (which combined with a no return enclosure for phase trajectories will show cycle limit sustained oscillations). Two variables have been employed in this analysis: X∝ monomer,...

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Search results for: Juan A. Pérez Ortiz

Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters

Models for Oscillating Polymerization: Activation by Product in a System with Flow

Simple models of oscillating polymerizations:Dimeric form autocatalysis

Minimum models of damped and limit cycle oscillations in a polymerization

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INFONA - science communication portal

Search results for: Juan A. Pérez Ortiz

Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters

Models for Oscillating Polymerization: Activation by Product in a System with Flow

Simple models of oscillating polymerizations:Dimeric form autocatalysis

Minimum models of damped and limit cycle oscillations in a polymerization

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