6 Tuesday July 2021 Testing “Gold” Room Time series refers to a sequence formed by arranging the values of the same statistical indicator in chronological order. Its essence is the trend of one or more random variables changing over time. The core of time series prediction methods is to mine such patterns from the data[1].Time … Read more
Multi-Unit Wind Power Prediction Based on LSTM and Particle Swarm Algorithm Wu Zhenlong1, Mo Yipeng1, Wang Ronghua2, Fan Xinyu1, Liu Yanhong1, Guo Xiaolian3 1. Zhengzhou University, School of Electrical and Information Engineering; 2. Shandong Labor Vocational Technical College; 3. Zhejiang Special Equipment Science Research Institute Click “Read the Original” at the end of the article … Read more
Click the “MLNLP” above to add it to your “Starred” or “Pinned” list. Heavyweight content delivered to you first. Editor: Yizhen https://www.zhihu.com/question/46688107 This article is for academic sharing only. If there is any infringement, it will be deleted. Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling Author:Xie Zhininghttps://www.zhihu.com/question/46688107/answer/117448674 Both have their pros … Read more
Click the blue WeChat name below the title to quickly follow Abstract Objective This study compares the prediction effects of unidimensional and multidimensional input models of Long Short-Term Memory (LSTM) neural networks and Back Propagation (BP) neural networks in the field of dynamic blood sugar.Method This study collected blood sugar values from 18 type 2 … Read more
Wang Zihao1 ,Li Gun1 Liu Dawei2 Chen Dehua1, 2 , Zhang Shujun1 1.University of Electronic Science and Technology of China, School of Aerospace Engineering, Chengdu 611731 2.China Aerodynamics Research and Development Center, High-Speed Aerodynamics Institute, Mianyang 621000 doi: 10.7638/kqdlxxb-2023.0146 Abstract The flutter of supercritical wings greatly impacts the safety and stability of transport aircraft. Accurately … Read more
This article is an excellent piece from the KX Forum, author ID: Flying Fish Oil 1 Introduction In recent years, the rapid development of natural language processing has introduced a series of related algorithms and models. For example, RNN (Recurrent Neural Network) for processing sequential data, LSTM (Long Short-Term Memory Network), GRU (Gated Recurrent Unit), … Read more
Authors Wei Yan, Yang Chunying, Wang Yongfang, Liu Pengfei Technology Readiness Level (TRL) is a widely used method for quantifying the technological development progress of major scientific and engineering projects, indicating the development status of a technology relative to the system or the entire project. Technology maturity assessment is a systematic standard, method, and tool … Read more
Source:DeepHub IMBA Complete code and detailed explanation for end-to-end time series forecasting using LSTM. First, let’s understand two topics: What is Time Series Analysis? What is LSTM? Time Series Analysis: A time series represents a series of data points indexed in time order. It can be in seconds, minutes, hours, days, weeks, months, or years. … Read more
Source: DeepHub IMBA This article is about 3400 words long and is recommended to read for more than 10 minutes. This article will guide you to recognize human activities using raw data generated by mobile sensors. Human Activity Recognition (HAR) is a method that uses Artificial Intelligence (AI) to recognize human activities from raw data … Read more
Source：Deephub Imba This article is approximately 4000 words, and it is recommended to read in 10minutes In this tutorial, we will use PyTorch-LSTM for deep learning time series prediction. A time series refers to any quantifiable measurement or event that occurs over a period of time. Although this may sound trivial, almost anything can be … Read more