[PDF] Top 20 Gestión de calidad en empresas turísticas

... 5 do not appear to follow a straight line but it is also uncertain whether or not there is evidence or non-normality, skewness, outliers since there are few observations ...an important role when the order ... See full document

... training algorithm – the most common architectures for predicting different procedures – were applied for modeling each network and the best results are ... See full document

... Each algorithm was given 25 different starting values and the results were ...the genetic algorithm is a parallel, robust and probabilistic search technique that is simply and easily implemented ... See full document

... cutting parameters plays a very important role to ensure product quality, increase productivity, reduce cost of ...cutting parameters in turning process, such as genetic algorithms and ... See full document

... an important part of machine ...genetic algorithm. GA helps us in selecting the optimal set of hyper-parameters using cross entropy error as the fitness ... See full document

... and genetic algorithm, SVM is superiority to above methods because it isn’t easily got into local optimization and the ability of generalization is also improved ...special parameters to some degree, ... See full document

... Design of Experiments (DOE) is a powerful analysis tool for modelling and analyzing the influence of control factors on output performance. The traditional experimental design is difficult to be used especially when ... See full document

... HMM parameters is very important step in Automatic Speech Recognition (ASR) using ...model parameters will automatically raise the ASRs recognition ...model parameters. The well known ... See full document

... machining parameters are very important in any machining ...is important as it influences the quality and performance of the products, hence the minimization of surface roughness in manufacturing ... See full document

... Double exponential smoothing was the extended idea by Holts in 1950s which allowed trend in data series. It consists of two parameters to be estimated for next future values. Double exponential smoothing also ... See full document

... Finally the output code flow needs entropy coding, the arithmetic coding is generally adopted. Because each round of threshold is different, finally in the vice table, the non-zero point listed in the preceding is more ... See full document

... are calculated using PSO, GA, and EDA algorithms. Regarding the simulation results, it is concluded that PSO algorithm shows better performance among three mentioned optimization algorithms. Also, the results ... See full document

... of genetic operators com- bined with heuristics that help to find good solutions for this constrained combinatorial optimisation ...of how to effectively employ different operators within two variants of ... See full document

... other genetic operations, so that the quality of the solution is getting better and ...The algorithm has the advantages of global optimization ability, strong adaptability, robustness to solve nonlinear ... See full document

... Modified Genetic Algorithm [9]:- In modified genetic algorithm, the initial population is created by improvement in Max-min ...of genetic modified genetic algorithm as ... See full document

... The genetic algorithm was used for the optimal adjustment of coefficients of the fuzzy controller in order to minimize power error and increase the response ... See full document

... Abstract: COPD is a common cause of disability, morbidity and mortality worldwide and a major global health problem with enormous direct and indirect health care costs. Different reasons can be advanced to explain it, ... See full document

... Sea-grasses are one of the most widespread vegetation that grows in tidal and sub-tidal region of the shallow coastal environments in the depth range of 2-12m wherein the light intensity is high. They are found in ... See full document

... flow parameters hav- ing different bed materials invoking data of Gradual Varied Flow ...the Genetic Algorithm (GA) optimization technique is assessed in estimation of open channel flow ... See full document

... is important for me to understand how we do or do not adjust our communication when communicating with migrant colleagues in order to understand how to address the challenges some multic[r] ... See full document