Results 31 to 40 of about 6,955,768 (244)

Research on network security situation assessment and situation prediction modeling based on DBN

Dianzi Jishu Yingyong, 2021
With the rapid development and rapid development of computer communication network technology, network attacks and destruction emerge in various forms and emerge in endlessly.
Xiong Zhonghao, Zhang Wei, Yang Guoyu
doaj   +1 more source

Optimization and Simulation of Garden Image Visual Effect Based on Particle Swarm and Wavelet Threshold

IEEE Access, 2020
This paper optimizes and simulates the visual effects of garden graphics based on particle swarm and wavelet threshold algorithm, and uses deep belief networks as the main body of the classifier. To make up for the shortcomings of the activation function
Hua Zhang, Xiongfei Min
doaj   +1 more source

Research on DBN-based Evaluation of Distribution Network Reliability [PDF]

E3S Web of Conferences, 2021
In order to accurately and efficiently analyze the reliability of distribution network, this paper proposes a method of analyzing the reliability of distribution network based on a deep belief network.
Zhang Kaiyu, Shi Shanshan, Liu Shu, Wan Junjie, Ren Lijia   +4 more
doaj   +1 more source

Learning Deep Belief Networks from Non-Stationary Streams [PDF]

, 2012
18.10.13 KB. Ok to add author version to spiral from LNCS; embargo period expired. SpringerDeep learning has proven to be beneficial for complex tasks such as classifying images. However, this approach has been mostly applied to static datasets.
Pouzols, Federico Montesino, Deisenroth, Marc P, Roberto Calandra, Montesino Pouzols, F., Calandra, Roberto, Tapani Raiko, Deisenroth, M. P., Raiko, Tapani, Federico Montesino Pouzols, Calandra, R., Marc Peter Deisenroth, Raiko, T.   +11 more
core   +2 more sources

The training process of deep belief network model.

, 2023
The training process of deep belief network model.
Yucheng Zhang (136327), Zhaoxing Ma (17537618), Haihua Zhang (375534), Zhengxi Yuan (14596244), Hao Chen (5190), Chenlei Han (17537615)   +5 more
core   +1 more source

The Deep Belief and Self-Organizing Neural Network as a Semi-Supervised Classification Method for Hyperspectral Data

Applied Sciences, 2017
Hyperspectral data is not linearly separable, and it has a high characteristic dimension. This paper proposes a new algorithm that combines a deep belief network based on the Boltzmann machine with a self-organizing neural network.
Wei Lan, Qingjian Li, Nan Yu, Quanxin Wang, Suling Jia, Ke Li   +5 more
doaj   +1 more source

Durability Prediction Method of Concrete Soil Based on Deep Belief Network

Advances in Civil Engineering, 2022
To truly reflect the durability characteristics of concrete subjected to multiple factors under complex environmental conditions, it is necessary to discuss the prediction of its durability.
Xiao Tian, Niankun Zhu
doaj   +1 more source

Research on Fault Detection for ZPW-2000A Jointless Track Circuit Based on Deep Belief Network Optimized by Improved Particle Swarm Optimization Algorithm

IEEE Access, 2020
With the rapid development of railway traffic, traffic safety has become a focus. The ZPW-2000A jointless track circuit is an important part of train control systems. Currently, the fault detection of the ZPW-2000A jointless track circuit still relies on
Ziyuan Zheng, Shenghua Dai, Xuxu Xie
doaj   +1 more source

Personalized Information Recommendation Based on Deep Belief Network [PDF]

Jisuanji gongcheng, 2016
In order to mine more information relationship in information recommendation,this paper puts forward an information recommendation method based on the Deep Belief Network(DBN).It uses fuzzy clustering to do some pretreatment in order to achieve the aim ...
WANG Zhaokai,LI Yaxing,FENG Xupeng,LIU Lijun,HUANG Qingsong,LIU Xiaomei
doaj   +1 more source

Isolated guitar transcription using a deep belief network [PDF]

PeerJ Computer Science, 2017
Music transcription involves the transformation of an audio recording to common music notation, colloquially referred to as sheet music. Manually transcribing audio recordings is a difficult and time-consuming process, even for experienced musicians.
Gregory Burlet, Abram Hindle
doaj   +2 more sources