This study investigates the use of artificial neural network (ANN) modeling to predict break specific fuel consumption(BSFC).The experimental results reveal that the mixtures of Pyrolysis oil and diesel fuel provided better engine performance and reduce break specific fuel consumption (BSFC) compared ...
neural network modelBackground: Artificial neural networks (ANNs) have been extensively used in the field of medicine. The present hypothesis-free study sought to use an ANN to identify the characteristic genes of cervical cancer (CC). Methods: RNA sequencing profiles were obtained from the GSE...
The Receiver Operating Characteristic (ROC) is a widely used index in Artificial Intelligence studies(e.g.see, Matsuki et al., 2002; Wu et al., 1993). In the ROC vertical axis we have the mean of true positive results TPR(Soreide, 2009) defined by, (B.1)TPR=TPTP+FN, where...
Machine learning algorithms (Chang et al., 2019; Taleqani et al., 2019; Xu et al., 2018a, 2020; Yan et al., 2020; Zhou et al., 2019), such as artificial neural network (Chang et al., 2019), long short-term memory (LSTM) NN model (Xu et al., 2018a), hybrid edge-...
2.The method ofamplitude frequency characteristicsimprovement is presented to realize ultra-low frequency vibration measurement based on functional link artificial neural network(FLANN) for magnet-electrical vibration velocity transducer.为了降低磁电式振动速度传感器的下限测量频率,以实现超低频振动速度测量,提出改...
An uninterrupted (>14 h) recording of visually evoked neural activities in the cortex of mice enabled the determination of strength of sensory activation. Furthermore, an artificial intelligence-based neural activation parameter transformed Ca 2+ bioluminescence signals to network activity patterns. ...
step tear-down process of the unit, the experimental set-up, validation of the CFD model, and a description of the development and use of the Artificial Neural Network of the cold plate assembly to study the performance of the system at a wide range and combinations of...
关键词: MFL inspection steel pipe artificial neural network c haracteristic values prediction model DOI: 10.1109/JLT.2003.821766 被引量: 7 年份: 2004 收藏 引用 批量引用 报错 分享 全部来源 求助全文 知网 相似文献 参考文献 引证文献The research of defect recognition for radiographic weld image ...
In this work, various statistical features are extracted from the EEG signal segments decomposed by CEEMDAN and seizure classification is performed using artificial neural network. The efficacy of our feature extraction scheme is validated by statistical and graphical analyses. The overall performance of ...
Cladding characteristics of excimer laser is discussed. 探讨了准分子激光的熔覆特性,实验表明:准分子激光瞬时产生很高的功率密度,具有很高的温度梯度。 6) Melting characteristics 熔化特性 1. The artificial neural network model for predicting the melting characteristics of the cellulose electrode was trained...