Search results for "Trial and error"
showing 4 items of 14 documents
An improved five-parameter model for photovoltaic modules
2010
This paper presents a new five-parameter model capable of analytically describing the I–V characteristic of a photovoltaic module for each generic condition of operative temperature and solar irradiance. The parameters of the equivalent electrical circuit are extracted by solving a system of equations based on data commonly issued by manufacturers in standard rating conditions with a trial and error process. The procedure, which does not require any special equations solver, can be easily coded into a short software routine using simple languages and finds the solution of the system of equations with the desired accuracy without needing to be guided towards solutions starting from fitted in…
Light vergence detection in monocular and monochromatic accommodation
2017
El ojo proyecta información desde el mundo tridimensional a la retina, la cual es una superficie bidimensional. Por este motivo, teóricamente sólo objetos que se encuentren en el plano conjugado a la retina pueden ser enfocados de forma correcta y, por tanto, objetos que se encuentren por delante o por detrás del plano conjugado, serán percibidos como imágenes borrosas. Por suerte, la acomodación ocular permite al ojo joven ver objetos situados a diferentes distancias de forma nítida. Este sistema de autoenfoque se consigue gracias al cambio de potencia dióptrica experimentado por el ojo como consecuencia del cambio en la morfología del cristalino. Debido a la alta frecuencia temporal de la…
A Comparative Analysis of Multiple Biasing Techniques for $Q_{biased}$ Softmax Regression Algorithm
2021
Over the past many years the popularity of robotic workers has seen a tremendous surge. Several tasks which were previously considered insurmountable are able to be performed by robots efficiently, with much ease. This is mainly due to the advances made in the field of control systems and artificial intelligence in recent years. Lately, we have seen Reinforcement Learning (RL) capture the spotlight, in the field of robotics. Instead of explicitly specifying the solution of a particular task, RL enables the robot (agent) to explore its environment and through trial and error choose the appropriate response. In this paper, a comparative analysis of biasing techniques for the Q-biased softmax …
Methods for optimal shape design of electrical devices
1996
Often the primary problem facing designers of structural systems is determining the shape of the structure. In spite of graphical work stations and modern software for analyzing the structure, finding the best geometry for the structure by “trial and error” is still a very tedious and timeconsuming task. The goal in optimal shape design (structural optimization, or redesign) is to computerize the design process and therefore shorten the time it takes to design new products or improve the existing design. Structural optimization is already used in many applications in industry. In general, however, structural optimization is just beginning to penetrate the industrial community. Integrating F…