[PDF] Top 20 Support-vector-based fuzzy neural network for pattern classification
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Support-vector-based fuzzy neural network for pattern classification
... Support-Vector-Based Fuzzy Neural Network for Pattern Classification Chin-Teng Lin, Fellow, IEEE, Chang-Mao Yeh, Sheng-Fu Liang, Jen-Feng Chung, and Nimit ... See full document
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The Support Vector Clustering Neural Network Used For Pattern Classification
... 5. Conclusions In this paper, we have presented a SVISV algorithm to improve the limitation in SVC; that is, when the training data become large, the solution of the Lagrange multipliers is difficult to find. Our ... See full document
5
Supervised Fuzzy ART: Training of a Neural Network for Pattern Classification via Combining Supervised and Unsupervised Learning
... According to the matching criteria, if the input vector I is mapped to different desired output from that of the hyper- rectangle containing I, a new category is created.. Initial[r] ... See full document
6
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From
... deep network such as ...required for conventional machine learning models, feature enrichment aims to enrich the simplified representation by restoring the structural information with ...STFT, for an ... See full document
10
Classification of multispectral images through a rough-fuzzy neural network
... Multispectral classification has been described as generat- ing better discrimination than single spectral ...contrasts, based on local variations of spin-lattice relaxation time (T 1 ), spin-spin re- ... See full document
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Satellite sensor image classification using cascaded architecture of neural fuzzy network
... the classification. The results show that the neural network is a feasible application to satellite sensor image clas- ...Especially for a nonho- mogeneous region, the gray values of its ... See full document
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A vector neural network for emitter identification
... include fuzzy systems, neural networks, intelligent control, human–machine interface, image processing, pattern recognition, video and audio (speech) processing, and intelligent transportation ... See full document
8
A functional-link-based fuzzy neural network for temperature control
... of fuzzy sets in the universal of discourse of each input variable, since one cluster in the input space corresponds to one potential fuzzy logic rule, in which m ij and σ ij represent the mean and variance ... See full document
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Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis
... technique for reducing prediction ...(PSO) based artificial neural network (ANN), the adaptive neuro-fuzzy inference system (ANFIS), and a case-based reasoning (CBR) classifier ... See full document
8
Credit Rating Analysis with Support Vector Machines and Neural Network: A Market Comparative Study
... margin for each rating group in the US data set, except for the B rating group, averaged between 30% and 35%, but the average operating profit margin ranged from ...observed for debt ratio ...owners. ... See full document
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Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models
... are based on the sample projects collected in this research and cautious should be taken when applying these to other sample ...that for future research, the sample project size can be increased to have ... See full document
4
A Spatial-Contextual Support Vector Machine for Remotely Sensed Image Classification
... SVM based on the spatial–contextual term of each training ...including classification accuracies and classi- fication ...conclusions for the present ... See full document
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Fuzzy One-Class Support Vector Machines
... in pattern recognition problems, Lin et ...of fuzzy set theory for SVM classification ...theory for the fuzzy rules based modeling [5] and clustering [6] ...are based on ... See full document
10
Counterpropagation fuzzy-neural network for city flood control system
... good pattern recognition engine and robust classifier, with the ability to generalize in making decisions about imprecise input ...The network is implemented in the Yu-Chen pumping sta- tion, ...The ... See full document
11
Direction of arrival estimation based on phase differences using neural fuzzy network
... radiation pattern of the array is adapted to allocate the main beam toward the mobiles of interest while other sources of jamming in the same frequency slot are nulled and the communication system is able to track ... See full document
10
Fuzzy Hopfield neural network with fixed weight for medical image segmentation
... a fuzzy Hopfield neural network 共FHNN兲, based on the pixel classification, for image seg- ...a fuzzy reasoning strategy into a neural ...ods for medical ... See full document
8
Support vector machines for data classification
... • Engine misfire: a substantial fraction of a cylinder’s air-fuel mixture fails to ignite.. • Frequent misfires: pollutants and costly replacement[r] ... See full document
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Support vector machines for data classification and regression
... Avoid underfitting : small training error Avoid overfitting : small testing error.. Overfitting[r] ... See full document
124
Neural-network-based optimal fuzzy controller design for nonlinear systems
... A neural-learning-based fuzzy inference network, which emphasizes physical system input- and state- dependence consequences in each fuzzy rule, is proposed to achieve the linear T–S ... See full document
26
A HYBRID NEURAL-NETWORK FOR IMAGE CLASSIFICATION
... C10 In these systems, the learning behavior of the neural network is simulated by updating the holographic dynamic gratings stored in the photorefractive crystal, w[r] ... See full document
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