Continual learning classification method for time-varying data space based on artificial immune system

BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes

(2020) Liangjun Feng et al.   NEUROCOMPUTING

Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity

(2020) Zheng Chai et al.   IEEE Transactions on Neural Networks and Learning Systems

A review of modularization techniques in artificial neural networks

(2019) Mohammed Amer et al.   ARTIFICIAL INTELLIGENCE REVIEW

Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data

(2019) Gang Qian et al.   IEEE SENSORS JOURNAL

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Emotional tendency of online legal course review texts based on SVM algorithm and network data acquisition

(2019) Xiaoyi Yuan   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review

(2019) Sohag Kabir et al.   SAFETY SCIENCE

Real-Time Classification of Diesel Marine Engine Loads Using Machine Learning

(2019) Syed Maaz Shahid et al.   SENSORS

Speeding up k-Nearest Neighbors classifier for large-scale multi-label learning on GPUs

(2019) Przemysław Skryjomski et al.   NEUROCOMPUTING

Univariate time series classification using information geometry

(2019) Jiancheng Sun et al.   PATTERN RECOGNITION

RBFNN-Based Minimum Entropy Filtering for a Class of Stochastic Nonlinear Systems

(2019) Xin Yin et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Coupling rub-impact dynamics of double translational joints with subsidence for time-varying load in a planar mechanical system

(2019) Shungen Xiao et al.   MULTIBODY SYSTEM DYNAMICS

Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability

(2019) Wanke Yu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Selecting training sets for support vector machines: a review

(2018) Jakub Nalepa et al.   ARTIFICIAL INTELLIGENCE REVIEW

EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems

(2018) Yuyang Zhou et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Bag of recurrence patterns representation for time-series classification

(2018) Nima Hatami et al.   PATTERN ANALYSIS AND APPLICATIONS

Fault diagnosis of time-varying processes using modified reconstruction-based contributions

(2018) Lamiaa M. Elshenawy et al.   JOURNAL OF PROCESS CONTROL

SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification

(2018) Abeegithan Jeyasothy et al.   IEEE Transactions on Neural Networks and Learning Systems

Layout optimization of large-scale oil–gas gathering system based on combined optimization strategy

(2018) Yang Liu et al.   NEUROCOMPUTING

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification

(2018) Piotr Duda et al.   IEEE Transactions on Cybernetics

Output Feedback Stabilization for a Class of Multi-Variable Bilinear Stochastic Systems With Stochastic Coupling Attenuation

(2017) Qichun Zhang et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Fault detection, location and classification of a transmission line

(2017) Debani Prasad Mishra et al.   NEURAL COMPUTING & APPLICATIONS

A method of anomaly detection and fault diagnosis with online adaptive learning under small training samples

(2017) LI Dong et al.   PATTERN RECOGNITION

Lifelong machine learning: a paradigm for continuous learning

(2017) Bing Liu   Frontiers of Computer Science

Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units

(2017) Ke Yan et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Fault detection, diagnosis and recovery using Artificial Immune Systems: A review

(2015) Nawel Bayar et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Recent Advances in Artificial Immune Systems: Models and Applications

(2010) Dipankar Dasgupta et al.   APPLIED SOFT COMPUTING

A Survey of artificial immune applications

(2010) Jieqiong Zheng et al.   ARTIFICIAL INTELLIGENCE REVIEW

Bayesian networks

(2010) Adnan Darwiche   COMMUNICATIONS OF THE ACM