Results 41 to 50 of about 22,598 (163)

Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface. [PDF]

Bioengineering (Basel), 2023
Wang S, Luo Z, Zhao S, Zhang Q, Liu G, Wu D, Yin E, Chen C.   +7 more
europepmc   +1 more source

Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction. [PDF]

Front Digit Health, 2023
Kalita K, Ganesh N, Jayalakshmi S, Chohan JS, Mallik S, Qin H.   +5 more
europepmc   +1 more source

Investigation of activation functions in deep belief network

, 2017
© 2017 IEEE. Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for pattern recognition.
Lim, Hann, King Hann Lim, Lau, M., Mian Mian Lau   +3 more
core   +1 more source

Retracted: Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Likelihood Estimation in Deep Belief Networks

, 2010
Many models have been proposed to capture the statistical regularities in natural images patches. The average log-likelihood on unseen data offers a canonical way to quantify and compare the performance of statistical models.
Sinz, Fabian, Gerwinn, Sebastian, Bethge, Matthias, Theis, Lucas, Gerwinn, S., Theis, L., Bethge, M., Sinz, F.   +7 more
core   +1 more source

A deep belief network-based clinical decision system for patients with osteosarcoma. [PDF]

Front Immunol, 2022
Li W, Dong Y, Liu W, Tang Z, Sun C, Lowe S, Chen S, Bentley R, Zhou Q, Xu C, Li W, Wang B, Wang H, Dong S, Hu Z, Liu Q, Cai X, Feng X, Zhao W, Yin C.   +19 more
europepmc   +1 more source

Intrusion Detection using Deep Belief Network

, 2014
This paper proposes an intrusion detection technique based on DBN (Deep Belief Network) to classify four intrusion classes and one normal class using KDD-99 dataset.
Kamran Raza, Syed Hasan Adil
core  

A hybrid spatiotemporal deep belief network and sparse representation-based framework reveals multilevel core functional components in decoding multitask fMRI signals. [PDF]

Netw Neurosci, 2023
Song L, Ren Y, Xu S, Hou Y, He X.
europepmc   +1 more source

Retracted: Analyzing the Patient Behavior for Improving the Medical Treatment Using Smart Healthcare and IoT-Based Deep Belief Network. [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source

Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data. [PDF]

Comput Struct Biotechnol J, 2023
Mahendran N, Vincent P M DR.
europepmc   +1 more source