M5 Petrophysical Modeling岩石物理模型(Schlumberger petrel教学资料)
With HyperStore, this doesn’t add too much value since the balancing algorithm for S3 and API can be random or based on the least connections to a backend node. For CMC requests, you do need to configure stickiness to a backend node but basing that on a source IP address is usually ...
The ability of three soft computing methods, least square support vector machine (LSSVM), fuzzy genetic algorithm (FGA) and M5 model tree (M5T), in forecasting daily and monthly stream flows of poorly gauged mountainous watershed using nearby hydro-meteorological data is investigated in the ...
Two-point LOD scores were calculated with the MLINK algorithm of LINKAGE version 5.1, with the assumption that the mutant allele frequency was 0.0001 with 100% penetrance. Markers in the homozygous linked interval gave a maximum LOD score of 5.6 at θ=0. The following primers were used to ...
NF utilizes an NN learning algorithm for constructing fuzzy if–then rules with proper membership functions (MFs) from the stipulated input–output pairs. Numerous sorts of inference systems exist in the literature [48–50]. Sugeno's fuzzy structure of the NF system is computationally more ...
[2]Attia ZI, Noseworthy PA, Lopez-Jimenez F, et al. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. Lancet. 2019...
offline and online BCI experiments were conducted on 16 subjects using the task discriminant component analysis algorithm for feature extraction and classification. Main results. The online BCI system achieved an average accuracy of 88.87% ± 3.05% and an information transfer r...
value = the CRC value that was calculated by applying a suitable CRC algorithm to the character string resulting from the concatenation of the values of the XML elements and attributes identified by the XPath expression contained in the items attribute. Note that this extension is defined to work...
aims to simultaneously capture time-frequency local features, long-term time dependence, and long-term frequency dependence to better model bird sound characteristics effectively. The latter is designed to improve recognition accuracy by fusing different sca...
this paper designs a spike encoding module and an SNN for processing sensor information. We use selective search to accomplish object tracking by classifying targets and backgrounds. The SNN can achieve 98.66% classification accuracy on our synthetic test...