An intrusion detection approach based on improved deep belief network

Secure Data Storage and Recovery in Industrial Blockchain Network Environments

(2020) Wei Liang et al.   IEEE Transactions on Industrial Informatics

Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks

(2019) Yanqing Yang et al.   Applied Sciences-Basel

A Secure FaBric Blockchain-Based Data Transmission Technique for Industrial Internet-of-Things

(2019) Wei Liang et al.   IEEE Transactions on Industrial Informatics

An Industrial Network Intrusion Detection Algorithm Based on Multifeature Data Clustering Optimization Model

(2019) Wei Liang et al.   IEEE Transactions on Industrial Informatics

Distributed attack detection scheme using deep learning approach for Internet of Things

(2018) Abebe Abeshu Diro et al.   Future Generation Computer Systems-The International Journal of eScience

Conceptual alignment deep neural networks

(2018) Yinglong Dai et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Graph Regularized Restricted Boltzmann Machine

(2018) Dongdong Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Continuous restricted Boltzmann machines

(2018) Robert W. Harrison   WIRELESS NETWORKS

Firefly algorithm based feature selection for network intrusion detection

(2018) Selvakumar B et al.   COMPUTERS & SECURITY

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks

(2018) Jiaqi Li et al.   IEEE Internet of Things Journal

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling

(2017) Maryam Fatemi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Discriminant deep belief network for high-resolution SAR image classification

(2017) Zhiqiang Zhao et al.   PATTERN RECOGNITION

A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data

(2017) Hongchao Song et al.   Computational Intelligence and Neuroscience

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets

(2016) Saikat Basu et al.   NEURAL PROCESSING LETTERS

Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning

(2015) C. L. Philip Chen et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Analysis of Different Sparsity Methods in Constrained RBM for Sparse Representation in Cognitive Robotic Perception

(2015) Zongyong Cui et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

A sparse-response deep belief network based on rate distortion theory

(2014) Nan-Nan Ji et al.   PATTERN RECOGNITION