Source: Deep Learning Enthusiasts This article is about 3000 words long and is recommended to be read in 10 minutes. This article introduces the basic components of CNN and classic network structures. The full name of CNN is “Convolutional Neural Network”. A neural network is a mathematical model or computational model that mimics the structure … Read more
Convolutional Neural Networks are a type of feedforward neural network that includes convolutional operations and has a deep structure, representing one of the key algorithms in deep learning. This article aims to introduce the basic concepts and structures of CNN, as well as the fundamental ideas behind CNN architecture design. This article is packed with … Read more
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· Included in the Overview of Core Journals in China · Core Journal of Chinese Science and Technology · High-quality Scientific Journal in the Textile Field (T3) · Journal Indexed by Scopus in Netherlands · Included in the Ulrich’s Periodicals Directory in the USA · Included in EBSCO-TTC in the USA · Included in the … Read more
Paper Title Process Production Quality Prediction Algorithm Based on Mar-G LSTM Authors Yin Yanchao, Su Yifan (Corresponding Author), Tang Jun, Lin Wenqiang, Pu Haoran, Wang Linyu Affiliations 1. School of Mechanical and Electrical Engineering, Kunming University of Science and Technology 2. Yunnan Tobacco Industrial Co., Ltd. Funding National Key R&D Program of China (2023YFB3308401) National … Read more
Click the “MLNLP” above, select to “star” or “pin” Important content delivered promptly Editor: Yi Zhen https://www.zhihu.com/question/62399257 This article is for academic sharing only. If there is infringement, it will be deleted. Understanding LSTM Followed by CRF Author:Scofieldhttps://www.zhihu.com/question/62399257/answer/241969722 In short, I will write a detailed article when I have time. 1. Perspective Everyone knows that … Read more
Reasons for Recommending Quality Articles To address the issue of predicting the state of charge (SOC) of lithium-ion batteries, a predictive model based on Long Short-Term Memory (LSTM) Recurrent Neural Networks is constructed. The test results show that incorporating the Dropout regularization method during the model training process can effectively reduce overfitting and enhance the … 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
Research on PDO Index Prediction Based on Multivariate LSTM Neural Network Model Scroll up and down to read more content Abstract Using sea level pressure, sea level height, heat content data from 1921–2020, and sea ice concentration as forecasting factors for the Pacific Decadal Oscillation (PDO) index, a multivariate Long Short Term Memory (LSTM) neural … Read more