In this paper is described the causal theory of reference, which fits the possibility of existence of semantically active states of artificial neural networks. Also is introduced a frame for conceptual modelling of abstract entities, where the causal theory of reference is not by itself sufficient ...
The main purpose of such study is to estimate the occurrence of phenological stages in dry farming wheat at the time interval of short duration before their occurrence using meteorological data. Recently, the application of Artificial Neural Networks (ANNs) has developed into a powerful tool that ...
Pomerleau, "Dynamic relevance: Vision-based focus of attention using artificial neural networks," Artificial Intelligence, 97, pp. 381-395, 1997.S. Baluja, D. Pomerleau, Dynamic relevance: Vision-based focus of attention using artificial neural networks, Artificial Intelligence 97 (1997) 381-395....
This paper proposes VaR forecast combinations using Artificial Neural Networks (ANNs) instead of model selection. Based on Mean Loss Comparison, Violation Ratio and Christofferson's condi-tional coverage test, both the simulation and real data results prove that the ANNs combinations have superior ...
Artificial Neural Networks and Deep Learning abstract,站酷海洛,一站式正版视觉内容平台,站酷旗下品牌.授权内容包含正版商业图片、艺术插画、矢量、视频、音乐素材、字体等,已先后为阿里巴巴、京东、亚马逊、小米、联想、奥美、盛世长城、百度、360、招商银行、工商银行
The dissertation for candidate degree on the specialty 05.14.02-Electrical power plants, networks and systems. This dissertation deals with the application of artificial neural networks (ANNs) to fault detection and location in high voltage (HV) transmission lines using terminal line data. During the...
13. Mollalo A, Mao L, Rashidi P, Glass GE, A GIS-based artificial neural network model for spatial distribution of tuberculosis across the continental United States: Int J Environ Res Public Health, 2019; 16; 157 14. Reich NG, McGowan CJ, Yamana TK, Accuracy of real-time multi-model ...
One study looked at dental cusp detection and classification using artificial neural networks (ANN) as an AI model. The study had an accuracy of 93.5% in detecting cusps [16]. PREDICTION OF PROSTHODONTIC TREATMENT: A total of 13 studies were included to review the outcome of prosthodontic treat...
article describes a structure of artificial neural networks, irregular terrain field strength prediction methods and a uniting those principles in the model.Ing... IL Závodný,DD Programme 被引量: 0发表: 0年 Comparison of field-strength prediction methods in the UHF-range During the last years...
materialpropertiesassignedinthehorizontalandverticaldirections.Recentresearchhasbeendirectedtowardsapplyingartificialneuralnetworks(ANNs)forpredictingtheseanisotropicstiffnesspropertiesofgranularmaterialsfromthestandardtestprocedures,whichdonotincludemeasurementoflateralspecimendeformations.ANNModelDevelopmentandTrainingRepeatedload...