Titlebook: Hybrid Intelligent Systems; 18th International C Ana Maria Madureira,Ajith Abraham,Maria Leonilde V Conference proceedings 2020 Springer Na

冲击力

,Kernel Based Chaotic Firefly Algorithm for Diagnosing Parkinson’s Disease,sification accuracy, stability, and generalization of the feature set. The simulated results showed that logistic based CFA-KNB model outperformed other five chaotic map based CFA-KNB models. The generalization and stability of the predictive model is established by computing the model with four wel

Bumble

Manoela Kohler,Leonardo Sondermann,Leonardo Forero,Marco Aurelio Pacheco

elastic

Marco Antonio Florenzano Mollinetti,Mario Tasso Ribeiro Serra Neto,Takahito Kuno

阻挡

Mahsa Khorram,Pedro Faria,Omid Abrishambaf,Zita Vale

皮萨

bromide

Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neurapt the forecasts to specific local conditions. Differential polynomial network is a recent machine learning technique used to develop post-processing models. It decomposes and substitutes for the general linear Partial Differential Equation being able to describe the local atmospheric dynamics whic

善于骗人

Classifying and Grouping Narratives with Convolutional Neural Networks, PCA and t-SNE,laints must be forwarded to the responsible company and posted on the site after 15 days or when the company responds to the complaint, whichever comes first. Published complaints and solutions help consumers solve their problems and also serve as a repository of help for other consumers to avoid or

bacteria

Hybrid Instrumental Means of Predictive Analysis of the Dynamics of Natural and Economic Processes,gh the forecasting of both economic and natural time series with memory based on the application of new mathematical methods of investigation. The paper poses the problem of developing a constructive method for predictive analysis of time series in the framework of the currently emerging trend of us

高歌

Optimizing Routes for Medicine Distribution Using Team Ant Colony System,SP). MTSP problems aim to minimize the total displacement of the salesmen, in which all intermediate nodes should be visited only once. The Team Ant Colony Optimization (TACO) can be used to solve this sort of problem. The goal is to find multiple routes with similar lengths to make the delivery pro

accessory

,Extending Flow Graphs for Handling Continuous−Valued Attributes,ghted and labeled digraph. The data structure, named flow graph (FG), has been proposed not only for representing a set of supervised training data aiming at its analysis but, also, for supporting the extraction of decision rules, aiming at a classifier. The work described in this paper extends the