4.4 Article

Continual learning classification method with single-label memory cells based on the intelligent mechanism of the biological immune system

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Continual learning classification method and its application to equipment fault diagnosis

Dong Li et al.

Summary: The study introduces a continual learning classification method (CLCM) that continually improves classification performance by learning testing data, classifies known data, clusters new data, and shows superior performance compared to other methods, especially with fewer types of training data.

APPLIED INTELLIGENCE (2022)

Article Computer Science, Theory & Methods

The Deep Learning Compiler: A Comprehensive Survey

Mingzhen Li et al.

Summary: This article provides a comprehensive survey of existing DL compilers, focusing on DL-oriented multi-level IR design and frontend/backend optimizations. The analysis dives into the design of multi-level IRs and commonly adopted optimization techniques, highlighting potential research directions for DL compiler development.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2021)

Article Engineering, Electrical & Electronic

Artificial Neural Network Based Identification of Multi-Operating-Point Impedance Model

Mengfan Zhang et al.

Summary: This letter proposes a method for identifying the impedance model of VSI under a wide range of operating points using artificial neural networks. The effectiveness of the ANN-based method is validated with analytical impedance models.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2021)

Article Computer Science, Artificial Intelligence

Efficient and accurate structural fusion of Bayesian networks

Jose M. Puerta et al.

Summary: This paper discusses the theoretical framework of Bayesian Network fusion and makes two main methodological contributions, including adapting the BN learning algorithm GES for input of a set of BNs and proposing a heuristic method to identify a suitable order of variables to obtain consensus BNs with fewer edges than those obtained by random orderings. Results from computational experiments show that the proposed heuristic efficiently computes the total order of variables to obtain a consensus network very close to the optimal one.

INFORMATION FUSION (2021)

Article Computer Science, Artificial Intelligence

An improved real-valued negative selection algorithm based on the constant detector for anomaly detection

Dong Li et al.

Summary: This paper introduces an improved negative selection algorithm IFB-NSA, which enhances detection rate and reduces false alarm rate by expanding state space, adding auxiliary detectors, and using variable-sized training samples. Experimental results demonstrate that IFB-NSA outperforms FB-NSA and other anomaly detection methods in most cases.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Continual learning classification method with constant-sized memory cells based on the artificial immune system

Dong Li et al.

Summary: C-CLCM is a continual learning classification method inspired by the biological immune system. It gradually enhances its performance by continually learning new types of data during the testing stage. When degenerating into a common supervised learning classification method, it outperforms other methods, especially when the training data do not cover all types.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Engineering, Mechanical

Support vector machines for automated modelling of nonlinear structures using health monitoring results

Cong Zhou et al.

Summary: This paper proposes an automated modelling approach that translates hysteresis loop analysis SHM results into nonlinear foundation models for forecasting responses in subsequent events. Experimental validation shows the method accurately identifies model parameters and predicts structural responses effectively.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Computer Science, Artificial Intelligence

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

Dong Li et al.

Summary: In this paper, a continual learning classification method for time-varying data space based on artificial immune system, CLCMTVD, is proposed. It utilizes the memory mechanism of the biological immune system to efficiently classify time-varying data. Experimental results show that the method has better classification performance for time-invariant data.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

Article Automation & Control Systems

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

Xin Yin et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2020)

Article Computer Science, Artificial Intelligence

Continual learning classification method with new labeled data based on the artificial immune system

Dong Li et al.

APPLIED SOFT COMPUTING (2020)

Article Automation & Control Systems

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

Wanke Yu et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)

Article Automation & Control Systems

A Reinforced k-Nearest Neighbors Method With Application to Chatter Identification in High-Speed Milling

Fei Shi et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)

Article Computer Science, Artificial Intelligence

Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity

Zheng Chai et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Review Computer Science, Artificial Intelligence

Continual lifelong learning with neural networks: A review

German I. Parisi et al.

NEURAL NETWORKS (2019)

Article Computer Science, Artificial Intelligence

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

Yang Liu et al.

NEUROCOMPUTING (2019)

Article Automation & Control Systems

EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems

Yuyang Zhou et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2018)

Article Computer Science, Artificial Intelligence

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

Dong Li et al.

PATTERN RECOGNITION (2017)

Editorial Material Computer Science, Information Systems

Lifelong machine learning: a paradigm for continuous learning

Bing Liu

FRONTIERS OF COMPUTER SCIENCE (2017)

Article Automation & Control Systems

A boundary-fixed negative selection algorithm with online adaptive learning under small samples for anomaly detection

Dong Li et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)

Review Automation & Control Systems

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

Nawel Bayar et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)

Article Computer Science, Artificial Intelligence

A negative selection algorithm with online adaptive learning under small samples for anomaly detection

Dong Li et al.

NEUROCOMPUTING (2015)

Review Multidisciplinary Sciences

Machine learning: Trends, perspectives, and prospects

M. I. Jordan et al.

SCIENCE (2015)

Article Computer Science, Artificial Intelligence

Re-visiting the artificial immune recognition system: a survey and an improved version

Ilyes Jenhani et al.

ARTIFICIAL INTELLIGENCE REVIEW (2014)

Review Computer Science, Artificial Intelligence

Pattern classification and clustering: A review of partially supervised learning approaches

Friedhelm Schwenker et al.

PATTERN RECOGNITION LETTERS (2014)

Review Computer Science, Artificial Intelligence

Recent Advances in Artificial Immune Systems: Models and Applications

Dipankar Dasgupta et al.

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

A Survey of artificial immune applications

Jieqiong Zheng et al.

ARTIFICIAL INTELLIGENCE REVIEW (2010)

Article Computer Science, Artificial Intelligence

Medical application of information gain-based artificial immune recognition system (IG-AIRS): Classification of microorganism species

Sadik Kara et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Review Biochemical Research Methods

Modeling the adaptive immune system: predictions and simulations

Claus Lundegaard et al.

BIOINFORMATICS (2007)

Review Multidisciplinary Sciences

Recognition of microorganisms and activation of the immune response

Ruslan Medzhitov

NATURE (2007)

Article Computer Science, Artificial Intelligence

A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis

Kemal Polat et al.

EXPERT SYSTEMS WITH APPLICATIONS (2007)

Review Computer Science, Artificial Intelligence

Machine learning: a review of classification and combining techniques

S. B. Kotsiantis et al.

ARTIFICIAL INTELLIGENCE REVIEW (2006)

Review Biochemistry & Molecular Biology

The evolution of adaptive immune systems

MD Cooper et al.

Article Computer Science, Artificial Intelligence

Learning and optimization using the clonal selection principle

LN de Castro et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)