Titlebook: Soft Computing Applications; Proceedings of the 7 Valentina Emilia Balas,Lakhmi C. Jain,Marius Mirce Conference proceedings 2018 Springer I

价值在贬值

Supervised Learning Techniques for Body Mass Estimation in Bioarchaeologyications of machine learning-based algorithms lead to better results than the current state of the art. Thus, the proposed methods are useful for producing good body mass estimations from skeletal measurements.

disparage

Relieving Supply Chain Through Collaboration for Wind Turbine Assembly Based on AHP and DBRand carbon fiber used in manufacturing wind blades. The use of Drum-Buffer-Rope (DBR) philosophy, has streamlined to dimension a buffer stock for the movement of fiber glass in the chain, in which was reduced assembly time of the blades in the wind farm, but also the duration of the implementation project.

fulcrum

The Generation of Tests of Knowledge Check Using Genetic Algorithmsg genetic algorithms, whose chromosomes will be considered the tests and genes will be considered questions. At the end of the paper some results obtained with the algorithm implemented in Java programming language will be presented.

MELD

A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimizationrent level of sensitivity to the ant’s pheromone. The colonies react different to the changing environment, based on their level of sensitivity and thus the exploration of the solution space is extended. Several discussion follows about the fuzziness degree of sensitivity and its influence on the solution of a complex problem.

不妥协

Parametric Prediction Model Using Expert System and Fuzzy Harmonic System the fuzzification process is depicted. Furthermore the global architecture of the KRONOS prototype (the one that implements the proposed model) is also described as well as a case of study. Since a good test set is very difficult to obtain, it remains as a work in progress task and not included as part of this paper.

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乞讨

Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neuralg available numerical statistics obtained from these models to find the best model for the purpose. Spam filtering is a very essential feature in most email services and thus effective spam classification models are pertinent to the current digital communication scenario and various work has been done in this area.

Adherent

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Junction

https://doi.org/10.1007/978-3-319-62524-9Intelligent Systems; Soft Computing; Soft Computing Applications; SOFA 2016; Fuzzy Logic