The slip rate and strong earthquake recurrence interval on the...
AbstractThe geometry of the Qianning-Kangding segment of the Xianshuihe fault zone is quite complex, and it is composed of four secondary-faults, i.e., the Yalahe fault, Selaha-Kangding fault,...
View ArticleSeismic intensity investigation of the 2001 M=6.0 Yajiang-Kangding earthquake...
AbstractAn M=6.0 earthquake occurred on February 23, 2001 in the western Sichuan Province, China. The macro seismic epicenter situated in the high mountain-narrow valley region between Yajiang and...
View ArticleKnowledge Acquisition Based on Neural Networks for Performance Evaluation of...
AbstractExpertise acquisition is always the obstacle and bottleneck in the development of intelligent design system. In order to generalize and accumulate the expertise and experience of simulation...
View ArticleFormal Representation and Verification of Ontology Using State Controlled...
AbstractOntologies are widely used in many areas. Different automatic or semiautomatic extraction techniques have been proposed for building domain ontology in recent years. The correctness of the...
View ArticleTectonic mechanism of the Suining (Ms5.0) earthquake, center of Sichuan...
AbstractOn Jan. 31 of 2010, the Suining earthquake occurred at Suining City whch is located the center of Sichuan Basin. It is unusual for the strong earthquake to occur at the center of Sichuan Basin...
View ArticleDomain ontology graph model and its application in Chinese text classification
AbstractThis paper proposes an ontology learning method which is used to generate a graphical ontology structure called ontology graph. The ontology graph defines the ontology and knowledge...
View ArticleTesting Paper Optimization Based on Improved Particle Swarm Optimization
Abstract The Computerized Examination System is an important part in computer aided education, which not only examines the learning outcome of every candidate, but also provides feedback for further...
View ArticleComments on “Local coupled extreme learning machine”
AbstractLocal coupled extreme learning machine (LCELM) (Qu in Neural Comput Appl 27(1):27–33, 2016) is a recently developed variant of ELM and uses the paradigm of local coupled feed-forward neural...
View ArticleExtreme learning machine with fuzzy input and fuzzy output for fuzzy regression
AbstractIt is practically and theoretically significant to approximate and simulate a system with fuzzy inputs and fuzzy outputs. This paper proposes a extreme learning machine (ELM)-based fuzzy...
View ArticleToward an efficient fuzziness based instance selection methodology for...
AbstractBuilding a high quality classifier is one of the key problems in the field of machine learning (ML) and pattern recognition. Many ML algorithms have suffered from high computational power in...
View ArticleFurther improvements on extreme learning machine for interval neural network
AbstractThe interval extreme learning machine (IELM) (Yang et al. in Neural Comput Appl 27(1):3–8, 2016) is a newly proposed regression algorithm to deal with the data with interval-valued inputs and...
View ArticleClinical and imaging features of pediatric COVID-19
AbstractBackgroundPediatric COVID-19 is relatively mild and may vary from that in adults. This study was to investigate the epidemic, clinical, and imaging features of pediatric COVID-19 pneumonia for...
View ArticleH9N2 Avian Influenza in Human
AbstractSubtype H9N2 of avian influenza virus (AIV) was first detected by Homme PJ et al. in the respiratory tract of turkeys in Wisconsin, USA in 1966 [1]. Since the 1990s, this virus has been...
View ArticleH10N8 Avian Influenza in Human
AbstractH10N8 is one of the subtypes of avian influenza virus (AIV), and its nomenclature is based on the protein hemagglutinin HA subtype 10 and neuraminidase NA subtype 8 in the surface of the virus....
View ArticleDelayed elimination communication on the prevalence of children's bladder and...
AbstractTo determine the prevalence of bladder and bowel dysfunction (BBD) and its relationship with delayed elimination communication (EC) in children. A cross-sectional study was carried out in...
View ArticleRandom vector functional link network with subspace-based local connections
AbstractA new random vector functional link (RVFL) network with subspace-based local connections (abbreviated as RVFL-SLC network) is proposed in this paper. The main innovation of RVFL-SLC network is...
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