GitHub

haitaozhao/LSTM_fault_detection

The code for the paper "Sequential Fault Diagnosis based on LSTM Neural Network" The code is developed under the python package: PyTorch python==3.52 numpy==1.13.3 PyTorch==0.20 scikit-learn==0.19.0 ...
GitHub

jidasheng/bi-lstm-crf

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
note

Learn PyTorch in 3 Minutes | torch.nn.LSTM

torch.nn.LSTM is a recurrent network with three gates: forget, input, and output. It solves the vanishing gradient problem of standard RNNs and can learn long-range dependencies. It is widely used in ...
IEEE

Enhancing EV Charging Station Integration: A Hybrid ARIMA-LSTM Forecasting and Optimization ...

Abstract: Electric vehicles (EVs) offer substantial environmental benefits but introduce challenges to power grids due to capacity limitations. Effective deployment and coordination of EV Charging ...

哥德尔智能体-具有递归自进化能力的agent框架

哥德尔智能体框架实现了任务策略和元学习算法的同步演化，使多智能体能够探索更广阔的架构设计空间。该研究证明了哥德尔智能体能够通过自指进行递归自我改进，大幅提升复杂推理任务的性能，为突破现有多智能体设计的性能天花板提供了一种全新的范式。而当AI掌握了自我 ...
IEEE

T. J. Nagalakshmi

Machine Learning,Support Vector Machine,Internet Of Things,Wireless,Deep Learning,Learning Algorithms,Random Forest,Support Vector Machine Algorithm,Neural Network,Performance Metrics,Random Forest ...