Characteristics of machine parameter optimization models

Optimization of Conventional Stabilizers Parameter of Two Machine Power System Linked by SSSC Using CHSA Technique

This paper presents a method for damping of low frequency oscillations (LFO) in a power system. The powersystem contains static synchronous series compensators (SSSC) which using a chaotic harmony searchalgorithm (CHSA), optimizes the lead-lag damping stabilizer. In fact, the main target of this paper isoptimization of selected gains with the time domain-based objective function, which is solve...

Exploiting characteristics of machine learning applications for efficient parameter servers

Large scale machine learning has emerged as a primary computing activity in business, science, and services, attempting to extract insight from quantities of observation data. A machine learning task assumes a particular mathematical model will describe the observed training data and use an algorithm to identify model parameter values that make it fit the input data most closely. That is, the c...

Parameter optimization for machine-learning of word sense disambiguation

Automated parameter optimization for Ecopath ecosystem models

Ecopath is mass-balance modeling approach that is widely used for incorporating ecosystem considerations into fisheries science. Up to now, users of Ecopath software who are constructing a model of a given area must carefully adjust input biomass, diets, and other parameters until the Ecopath parameterization is mass-balanced, a slow process leading to non-unique solutions. We present a new com...

optimization of conventional stabilizers parameter of two machine power system linked by sssc using chsa technique

this paper presents a method for damping of low frequency oscillations (lfo) in a power system. the powersystem contains static synchronous series compensators (sssc) which using a chaotic harmony searchalgorithm (chsa), optimizes the lead-lag damping stabilizer. in fact, the main target of this paper isoptimization of selected gains with the time domain-based objective function, which is solve...