In this study, we propose a set of methods enhancing the Isolation Forest on a basis of Fuzzy C-Means. The results of numerical experiments carried using 27 various datasets and reported in this paper lead us to the conclusion that FCM can play a pivotal role in an enhancement of Isolation...
Distribution-based methods assume that the data set satisfies a certain statistical model and treat data points that do not conform to the statistical distribution as outliers. This approach requires that the distribution of data sets be known, so it has strong restrictions on data sets. Based on...
Effects of habitat fragmentation on foraging behaviour of tits and related species: Does niche space vary in relation to size and degree of isolation of fo... We studied the winter foraging niches of tits and related species in deciduous forest fragments varying in size between 1 and 30 ha (...
Fig. 8. Wireless sensor network in Clustered based. A topological grouping of nodes in the transmission area is used to cluster them. A projected master node, also known as cluster head (CH) or master node, is at the top of this set of nodes in Fig. 9. The data is transferred from...
Using the theories of fuzzy mathematics and urban ecology,a basic evaluation model of urban ecosystem is established and the evaluative index set was build.According to the latest 5 years statistic of Changsha city,the values of ecological environmental index are calculated,then the situation of ecol...
摘要原文 Fuzzy systems have become a good solution to the problem of fixed parameters in metaheuristic algorithms, proving their efficiency when performing dynamic parameter adaptations using type-1 and type-2 fuzzy logic. However, the computational cost of type-2 fuzzy systems when using the continu...
Isolation forest as an alternative data-driven mineral prospectivity mapping method with a higher data-processing efficiency. Nat Resour Res. 2019;28:31–46. 10.1007/s11053-018-9375-6.Search in Google Scholar [11] Chen YL. Indicator pattern combination for mineral resource potential mapping with ...
Likas A, Blekas K (1996) A reinforcement learning approach based on the fuzzy min-max neural network. Neural Process Lett 4:167–172. https://doi.org/10.1007/BF00426025 Article Google Scholar Lv Y, Wei X, Guo S (2015) Research on fault isolation of rail vehicle suspension system. In...
In Formula (10), 𝑆S refers to the set of all possible states, 𝑓f is the transition rule, 𝑁N is the neighborhood of the cell, 𝑡t moment is the current moment and 𝑡+1t+1 represents the next moment. In fact, cellular automata take into account spatial explicit weighting fact...
We also considered architectures based on GAN and VAE, but they did not show good results in preliminary experiments. During the experiments, the authors found out that SVM and fuzzy methods showed the best results when encoding blocks of events in the form of an event set model: for the On...