Therefore, estimates of the MI are fundamentally important in most information theory applications. This paper provides a new way of understanding and estimating the MI using the copula function.

As a powerful knowledge-driven tool, copula theory performs well in modeling dependence among random variables. To enhance the interpretability of existing neural networks for heterogeneous CD, we ...

For families, students and staff, it's a big deal. The 87,000-square-foot building, built at a cost of about $30 million, ...

Neste trabalho é feita a descrição anatômica e histológica do aparelho genital de Succiena meridionalis Orbigy, 1846, considerando-se também a concha, mandíbula, rádula e câmara paleal. As variações ...

A two- and half-hour meeting ended with the historic preservation commission deciding to send a certificate of appropriateness to the owner of the Old Baptist Church, giving him 10 days to take action ...

根据专利摘要，可以看到该方案通过提炼调频信号的统计变量，从而有效表征调频信号的特点。然后，采用LSTM（长短期记忆网络）神经网络对电力源荷进行预测，进而求得未来时刻源荷功率的变化。LSTM作为一种优秀的时间序列预测模型，其对时间相关性数据的处理能力相对较强，能够更好地捕捉出电力负荷变化的趋势。这一方法不仅提升了预测的准确度，还大幅降低了低频减载的概率。