Titlebook: Engineering Applications of Neural Networks; 13th International C Chrisina Jayne,Shigang Yue,Lazaros Iliadis Conference proceedings 2012 Sp

endocarditis

書目名稱Engineering Applications of Neural Networks影響因子(影響力)




書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Engineering Applications of Neural Networks被引頻次




書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名




書目名稱Engineering Applications of Neural Networks年度引用




書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名




書目名稱Engineering Applications of Neural Networks讀者反饋




書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名

CAGE

Recording the Clinical Data Base,ed and evaluated by a set of fuzzy-logic rules that make inferences about the onset of sleep in automobile drivers. An experimental test environment has been developed to evaluate this method and its effectiveness.

一窩小鳥

MOAT

柔聲地說

overreach

An Operational Riverflow Prediction System in Helmand River, Afghanistan Using Artificial Neural Nere recent information on the hydrologic/hydraulic condition changes that have occurred since the available period for 1979. Follow-on research can also include developing extrapolation procedures for desired project events outside the range of the historical data and predictive error correction anal

overreach

Fuzzy-Logic Inference for Early Detection of Sleep Onset in Car Driver,ed and evaluated by a set of fuzzy-logic rules that make inferences about the onset of sleep in automobile drivers. An experimental test environment has been developed to evaluate this method and its effectiveness.

有效

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An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators,knowledge-base required for intelligent training simulators and designing intelligent lesson plans. The Instructor agent assesses each trainee from the past credentials for the level of lesson plans and builds a .. This is dynamically adapted to suite the level of trainee based on the responses and

Modicum

Network Intrusion Detection System Using Data Mining, by reducing the number of attributes from 42 to 27 considering only two classes of detection, normal and intrusion. Finally, we tested the Decision Tree and Bayesian Network classifiers considering five classes of attack: Normal, DOS, U2R, R2L and Probing. The experimental results proved that the a