Journal ArticleDOI
A Vectorization-Optimization-Method-Based Type-2 Fuzzy Neural Network for Noisy Data Classification
Gin-Der Wu,Pang-Hsuan Huang +1 more
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TLDR
Experimental results and theoretical analysis indicate that the proposed VOM2FNN performs better than the other fuzzy neural networks.Abstract:
This paper proposes a vectorization-optimization-method (VOM)-based type-2 fuzzy neural network (VOM2FNN) for noisy data classification. In handling problems with uncertainties, such as noisy data, type-2 fuzzy systems usually outperform their type-1 counterparts. Hence, type-2 fuzzy sets are adopted in the antecedent parts to model the uncertainty. To consider the classification problems, the discriminative capability is crucial to determine the performance. Therefore, a VOM is proposed in the consequent parts to increase the discriminability and reduce the parameters. Compared with other existing fuzzy neural networks, the novelty of the proposed VOM2FNN is its consideration of both uncertainty and discriminability. The effectiveness of the proposed VOM2FNN is demonstrated by three classification problems. Experimental results and theoretical analysis indicate that the proposed VOM2FNN performs better than the other fuzzy neural networks.read more
Citations
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A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
TL;DR: In this paper, a Parallel Random Forest (PRF) algorithm for big data on the Apache Spark platform is presented. And the PRF algorithm is optimized based on a hybrid approach combining dataparallel and task-parallel optimization, and a dual parallel approach is carried out in the training process of RF and a task Directed Acyclic Graph (DAG) is created according to the parallel training process.
Journal ArticleDOI
Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators
TL;DR: A fuzzy model of Mnns is employed to provide a new way of analyzing the complicated MNNs with only two subsystems, and update laws for the connection weights of slave systems and controller gain are designed to make the slave systems exponentially lag synchronized with the master systems.
Journal ArticleDOI
Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems
TL;DR: Simulation results show that Generalized Type-2 Fuzzy Controllers outperform their Type-1 and Interval Type- 2 FBuzzy Controller counterparts in the presence of external perturbations.
Journal ArticleDOI
Semantic content-based image retrieval: A comprehensive study ☆
TL;DR: This study presents a detailed overview of the CBIR framework and improvements achieved; including image preprocessing, feature extraction and indexing, system learning, benchmarking datasets, similarity matching, relevance feedback, performance evaluation, and visualization.
Journal ArticleDOI
Recent advances in neuro-fuzzy system: A survey
K V Shihabudheen,G. N. Pillai +1 more
TL;DR: A review of different neuro-fuzzy systems based on the classification of research articles from 2000 to 2017 is proposed to help readers have a general overview of the state-of-the-arts of neuro- fizzy systems and easily refer suitable methods according to their research interests.
References
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Assessment for automatic speech recognition II: NOISEX-92: a database and an experiment to study the effect of additive noise on speech recognition systems
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An online self-constructing neural fuzzy inference network and its applications
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A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning
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