An Improved Deep Clustering Model for Underwater Acoustical Targets
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9755-7
Abstract: Hand-craft features and clustering algorithms constitute the main parts of the unsupervised clustering system. Performance of the clustering deteriorates when the assumed probabilistic distribution of the data differs from the true one. This paper introduces… read more here.
Keywords: deep clustering; underwater acoustical; model; clustering model ... See more keywords
Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2021.121377
Abstract: Abstract Dynamic energy dispatch is an integral part of the operation optimization of integrated energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit forecast or mathematical models of the future uncertainties. Due… read more here.
Keywords: dispatch strategy; dynamic energy; improved deep; energy ... See more keywords
Reliability-Based Performance of Embankments Improved with Deep Mixing Considering Spatial Variability of Material Properties
Sign Up to like & getrecommendations! Published in 2018 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering"
DOI: 10.1061/ajrua6.0000987
Abstract: AbstractGeotechnical structures are generally designed using the deterministic approach, where uniform properties are used over the material space. This approach is not appropriate for deep cement ... read more here.
Keywords: reliability based; based performance; deep mixing; performance embankments ... See more keywords
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936243
Abstract: It is considerable to solve practical fault diagnosis task of gearbox under variable working conditions by introducing sufficient auxiliary data. For this purpose, a new approach called improved deep transfer auto-encoder is proposed for intelligent… read more here.
Keywords: variable working; working conditions; gearbox variable; transfer ... See more keywords
Research on Maneuvering Decision Algorithm Based on Improved Deep Deterministic Policy Gradient
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202918
Abstract: Autonomous maneuvering decisions of unmanned aerial vehicle (UAV) in short-range air combat remain a challenging research topic, and a decision method based on an improved deep deterministic policy gradient (DDPG) is proposed. First, the problem… read more here.
Keywords: improved deep; deep deterministic; based improved; deterministic policy ... See more keywords
Tool Wear Monitoring Based on Transfer Learning and Improved Deep Residual Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221994
Abstract: Considering the complex structure weight of the existing tool wear state monitoring model based on deep learning, prone to over-fitting and requiring a large amount of training data, a monitoring method based on Transfer Learning… read more here.
Keywords: residual network; network; deep residual; improved deep ... See more keywords
Intelligent Fault Quantitative Identification via the Improved Deep Deterministic Policy Gradient (DDPG) Algorithm Accompanied With Imbalanced Sample
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3250284
Abstract: The imbalanced amount of faulty and normal samples seriously affects the performance of intelligent fault diagnosis models. Aiming to solve the above problem, an improved deep deterministic policy gradient (DDPG) algorithm incorporating ResNet, ResDPG, based… read more here.
Keywords: improved deep; deep deterministic; intelligent fault; deterministic policy ... See more keywords
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2701797
Abstract: Deep computation models achieve super performance for big data feature learning. However, training a deep computation model poses a significant challenge since a deep computation model typically involves a large number of parameters. Specially, it… read more here.
Keywords: computation model; deep computation; model; decomposition ... See more keywords
Research of Epidemic Big Data Based on Improved Deep Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2020/3641745
Abstract: In recent years, with the acceleration of the aging process and the aggravation of life pressure, the proportion of chronic epidemics has gradually increased. A large amount of medical data will be generated during the… read more here.
Keywords: classification; convolutional neural; neural network; improved deep ... See more keywords
Mechanical Parameter Identification of Hydraulic Engineering with the Improved Deep Q-Network Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/6404819
Abstract: During the long-term operating period, the mechanical parameters of hydraulic structures and foundation deteriorated gradually because of the environmental factors. In order to evaluate the overall safety and durability, these parameters should be calculated by… read more here.
Keywords: parameter identification; engineering; network; mechanical parameter ... See more keywords
A Malicious Domain Detection Model Based on Improved Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9241670
Abstract: With the rapid development of the Internet, malicious domain names pose more and more serious threats to many fields, such as network security and social security, and there have been many research results on malicious… read more here.
Keywords: malicious domain; improved deep; domain; detection ... See more keywords