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HRTNet-1D data and scripts
HRTNet-1D data and scripts
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Zenodo
2024-11-20 更新
2026-04-07 收录
人工神经网络模型评估
一维信号处理
数据链接:
https://zenodo.org/doi/10.5281/zenodo.14190410
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资源简介:
The data and scripts to figures generated for the NRTNet-1D results and discussions.
应用场景:
创建时间:
2024-11-20
相关数据集
Descriptive statistics for overall percent correct and CPU run times for the developed ANN.
人工神经网络模型评估
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Descriptive statistics for overall percent correct and CPU run times for the developed ANN.
NIAID Data Ecosystem
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Evaluation Indicators for the BP Neural Network Model.
人工神经网络模型评估
机器学习性能指标
Evaluation Indicators for the BP Neural Network Model.
Figshare
2026-01-02 更新
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Precision of speech emotion recognition using IEMOCAP and DNN.
语音情感识别
人工神经网络模型评估
Precision of speech emotion recognition using IEMOCAP and DNN.
Figshare
2019-08-15 更新
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Evaluation results of the 2019 data-driven ANN model on the data collected in 2021 from three greengage plum genotypes and one myrobalan plum.
植物基因型分类
人工神经网络模型评估
Evaluation results of the 2019 data-driven ANN model on the data collected in 2021 from three greengage plum genotypes and one myrobalan plum.
NIAID Data Ecosystem
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Summary ANN models developed with SMOTED datasets and tested on the validation data set (hold out) and the entire data set.
类别不平衡
人工神经网络模型评估
Model accuracies were assessed using a Confusion Matrix and AUC. The Confusion matrices and AUCs are shown in S9-S16 Tables and S3, S4 Figs in S1 File.
Figshare
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