Juan A. Lazzús

发表

Mackey-Glass noisy chaotic time series prediction by a swarm-optimized neural network

C H López-Caraballo, I. Salfate, Juan A. Lazzús, 2016 .

Dst Index Forecast Based on Ground‐Level Data Aided by Bio‐Inspired Algorithms

M. V. Stepanova, Juan A. Lazzús, P. Vega‐Jorquera, 2019, Space Weather.

HYBRID NEURAL NETWORK{PARTICLE SWARM ALGORITHM TO DESCRIBE CHAOTIC TIME SERIES

I. Salfate, Juan A. Lazzús, Sonia Montecinos, 2014 .

Hybrid neural network–particle swarm method to predict global radiation over the Norte Chico (Chile)

Juan A. Lazzús, L. Palma-Chilla, Alejandro A. Pérez Ponce, 2012 .

Autoignition Temperature Prediction Using an Artificial Neural Network with Particle Swarm Optimization

Juan A. Lazzús, J. A. Lazzús, 2011 .

Optimization of activity coefficient models to describe vapor-liquid equilibrium of (alcohol + water) mixtures using a particle swarm algorithm

Juan A. Lazzús, J. A. Lazzús, 2010, Comput. Math. Appl..

Prediction of Flash Point Temperature of Organic Compounds Using a Hybrid Method of Group Contribution + Neural Network + Particle Swarm Optimization

Juan A. Lazzús, J. A. Lazzús, 2010 .

Neural network-particle swarm modeling to predict thermal properties

Juan A. Lazzús, J. A. Lazzús, 2013, Math. Comput. Model..

Variability and forecasting of air temperature in Elqui Valley (Chile)

Juan A. Lazzús, Pedro Vega-Jorquera, Ignacio Salfate, 2020, Earth Science Informatics.

Parameter estimation of a generalized Lotka-Volterra system using a modified PSO algorithm

Juan A. Lazzús, Ignacio Salfate, Pedro Vega-Jorquera, 2020, Appl. Soft Comput..

Predicting Natural and Chaotic Time Series with a Swarm-Optimized Neural Network

Juan A. Lazzús, 2011 .

Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network

Juan A. Lazzús, Marco Rivera, Ignacio Salfate, 2015, Comput. Intell. Neurosci..

Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks

Frank Sehnke, Martin Felder, I. Salfate, 2018, Renewable Energy.

Hybrid swarm optimization for vapor–liquid equilibrium modeling

Juan A. Lazzús, J. A. Lazzús, 2014 .

Parameter estimation of Lorenz chaotic system using a hybrid swarm intelligence algorithm

Juan A. Lazzús, J. A. Lazzús, C. López-Caraballo, 2016 .

Prediction of flammability limit temperatures from molecular structures using a neural network–particle swarm algorithm

Juan A. Lazzús, J. A. Lazzús, 2011 .

A GROUP CONTRIBUTION METHOD TO PREDICT ρ-T-P OF IONIC LIQUIDS

Juan A. Lazzús, J. A. Lazzús, 2010 .

A group contribution method to predict the glass transition temperature of ionic liquids

Juan A. Lazzús, J. A. Lazzús, 2012 .

Forecasting the Dst index using a swarm‐optimized neural network

Juan A. Lazzús, P. Rojas, Pedro Vega, 2017 .

Estimation of Density as a Function of Temperature and Pressure for Imidazolium-Based Ionic Liquids Using a Multilayer Net with Particle Swarm Optimization

Juan A. Lazzús, J. A. Lazzús, 2009 .

Hybrid Method to Predict Melting Points of Organic Compounds Using Group Contribution + Neural Network + Particle Swarm Algorithm

Juan A. Lazzús, J. A. Lazzús, 2009 .

Estimation of global solar radiation over the city of La Serena (Chile) using a neural network

Juan A. Lazzús, J. A. Lazzús, A. A. Pérez Ponce, 2011 .

A group contribution method to predict the thermal decomposition temperature of ionic liquids

Juan A. Lazzús, J. A. Lazzús, 2012 .

Estimation of solid vapor pressures of pure compounds at different temperatures using a multilayer network with particle swarm algorithm

Juan A. Lazzús, J. A. Lazzús, 2010 .

ρ(T, p) model for ionic liquids based on quantitative structure–property relationship calculations

Juan A. Lazzús, J. A. Lazzús, 2009 .

Hybrid Particle Swarm-Ant Colony Algorithm to Describe the Phase Equilibrium of Systems Containing Supercritical Fluids with Ionic Liquids

Juan A. Lazzús, 2013 .

Critical Properties, Normal Boiling Temperature, and Acentric Factor of Another 200 Ionic Liquids

Juan A. Lazzús, José O. Valderrama, J. Valderrama, 2008 .

ρ–T–P prediction for ionic liquids using neural networks

Juan A. Lazzús, J. A. Lazzús, 2009 .

Estimation of solid vapor pressures from supercritical CO2 + biomolecule systems using a PSO algorithm

Juan A. Lazzús, J. A. Lazzús, 2010 .

Thermodynamic modeling based on particle swarm optimization to predict phase equilibrium of binary systems containing ionic liquids

Juan A. Lazzús, J. A. Lazzús, 2013 .