- Home
- Publications
- Publication Search
- Publication Details
Title
A Survey on Fuzzy Deep Neural Networks
Authors
Keywords
-
Journal
ACM COMPUTING SURVEYS
Volume 53, Issue 3, Pages 1-25
Publisher
Association for Computing Machinery (ACM)
Online
2020-05-29
DOI
10.1145/3369798
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction
- (2019) Chao Luo et al. APPLIED SOFT COMPUTING
- Fuzzy deep learning based urban traffic incident detection
- (2018) Chaimae El Hatri et al. Cognitive Systems Research
- Surveillance scene representation and trajectory abnormality detection using aggregation of multiple concepts
- (2018) Sk. Arif Ahmed et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial–temporal data features
- (2018) Weihong Chen et al. Future Generation Computer Systems-The International Journal of eScience
- Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier
- (2018) Raheleh Davoodi et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A fuzzy convolutional neural network for text sentiment analysis
- (2018) Tuan-Linh Nguyen et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- A clustering fusion technique for MR brain tissue segmentation
- (2018) Hayat Al-Dmour et al. NEUROCOMPUTING
- A systematic study of the class imbalance problem in convolutional neural networks
- (2018) Mateusz Buda et al. NEURAL NETWORKS
- A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification
- (2017) Yue Deng et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A Pythagorean-Type Fuzzy Deep Denoising Autoencoder for Industrial Accident Early Warning
- (2017) Yu-Jun Zheng et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Airline Passenger Profiling Based on Fuzzy Deep Machine Learning
- (2017) Yu-Jun Zheng et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
- (2017) Yue Deng et al. IEEE Transactions on Neural Networks and Learning Systems
- Evolutionary radial basis function network for gestational diabetes data analytics
- (2017) Mário W.L. Moreira et al. Journal of Computational Science
- Fine-tuning Deep Belief Networks using Harmony Search
- (2016) João Paulo Papa et al. APPLIED SOFT COMPUTING
- Pythagorean fuzzy TODIM approach to multi-criteria decision making
- (2016) Peijia Ren et al. APPLIED SOFT COMPUTING
- Learning Subspace-Based RBFNN Using Coevolutionary Algorithm for Complex Classification Tasks
- (2016) Jin Tian et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep-Learning-Based Approach for Prediction of Algal Blooms
- (2016) Feng Zhang et al. Sustainability
- Intra- and Inter-Fractional Variation Prediction of Lung Tumors Using Fuzzy Deep Learning
- (2016) Seonyeong Park et al. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM
- Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning
- (2015) C. L. Philip Chen et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Sparse Coding-Inspired Optimal Trading System for HFT Industry
- (2015) Yue Deng et al. IEEE Transactions on Industrial Informatics
- Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation
- (2015) Weiming Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Measuring interfraction and intrafraction lung function changes during radiation therapy using four-dimensional cone beam CT ventilation imaging
- (2015) John Kipritidis et al. MEDICAL PHYSICS
- Respiratory motion variability of primary tumors and lymph nodes during radiotherapy of locally advanced non-small-cell lung cancers
- (2015) Nuzhat Jan et al. Radiation Oncology
- A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors
- (2014) Chenggang Yan et al. IEEE SIGNAL PROCESSING LETTERS
- Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets
- (2014) Xiaolu Zhang et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- Time series forecasting using a deep belief network with restricted Boltzmann machines
- (2014) Takashi Kuremoto et al. NEUROCOMPUTING
- Visual Words Assignment Via Information-Theoretic Manifold Embedding
- (2014) Yue Deng et al. IEEE Transactions on Cybernetics
- Fuzzy Chance-Constrained Multiobjective Portfolio Selection Model
- (2013) Mukesh Kumar Mehlawat et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Pythagorean Membership Grades in Multicriteria Decision Making
- (2013) Ronald R. Yager IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Fuzzy deep belief networks for semi-supervised sentiment classification
- (2013) Shusen Zhou et al. NEUROCOMPUTING
- Customized prediction of respiratory motion with clustering from multiple patient interaction
- (2013) Suk Jin Lee et al. ACM Transactions on Intelligent Systems and Technology
- Developing fast predictors for large-scale time series using fuzzy granular support vector machines
- (2012) Junhu Ruan et al. APPLIED SOFT COMPUTING
- Irregular Breathing Classification From Multiple Patient Datasets Using Neural Networks
- (2012) Suk Jin Lee et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Respiratory Motion Estimation With Hybrid Implementation of Extended Kalman Filter
- (2011) Suk Jin Lee et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Acceleration Strategies in Generalized Belief Propagation
- (2011) Shengyong Chen et al. IEEE Transactions on Industrial Informatics
- Optimization of an adaptive neural network to predict breathing
- (2009) Martin J. Murphy et al. MEDICAL PHYSICS
- Biogeography-Based Optimization
- (2008) D. Simon IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
- (2008) Nicolas Le Roux et al. NEURAL COMPUTATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More