Search Results - pattern ((classification based) OR (classification _))

A survey of fuzzy min max neural networks for pattern classification: variants and applications by Al Sayaydeh, Osama Nayel, Mohammed, Mohammed Falah, Lim, Chee Peng

“…Over the last few decades, pattern classification has become one of the most important fields of artificial intelligence because it constitutes an essential component in many real-world applications. …”
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A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification by Alhroob, Essam, Mohammed, Mohammed Falah, Lim, Chee Peng, Tao, Hai

“…FMM is considered one of the most useful neural networks for pattern classification. This paper aims to 1) analyze the FMM neural network in terms of its impact in addressing pattern classification problems; 2) examine models that are proposed based on the original FMM model (i.e., existing FMM-based variants); 3) identify the challenges associated with FMM and its variants, and; 4) discuss future trends and make recommendations for improvement. …”
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification by Quteishat, A., Lim, C.P., Tan, K.S.

“…In this paper, a two-stage pattern classification and rule extraction system is proposed. …”
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A hybrid-based modified adaptive fuzzy inference engine for pattern classification by Sayeed, Md. Shohel, Ramli, Abdul Rahman, Hossen, Md. Jakir, Samsudin, Khairulmizam, Rokhani, Fakhrul Zaman

“…The Neuro-Fuzzy hybridization scheme has become of research interest in pattern classification over the past decade. The present paper proposes a hybrid Modified Adaptive Fuzzy Inference Engine (MAFIE) for pattern classification. …”
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Multilevel learning in Kohonen SOM network for classification problems by Mohd. Yusof, Norfadzila

“…Self-organizing map (SOM) is a feed-forward neural network approach that uses an unsupervised learning algorithm has shown a particular ability for solving the problem of classification in pattern recognition. Classification is the procedure of recognizing classes of patterns that occur in the environment and assigning each pattern to its relevant class. …”
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Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

“…Pattern recognition/classification has received a considerable attention in engineering fields. …”
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Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

“…There are a lot of feature extraction methods and classification methods for iris classification. Classic local binary pattern (LBP) is one of the most useful feature extraction methods. …”
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A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification by Shamaileh, Abeer Moh'd Salem

“…The use of texture analysis in texture and medical image classification has attracted considerable attention. Local Binary Patterns (LBP) is one of the simplest yet eff ective texture descriptors. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks by F. M., Mohammed

“…Pattern classification is one of the major components for the design and development of a computerized pattern recognition system. …”
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Texture representation for wood defect image classification using enhanced colour uniform local binary pattern by Rahiddin, Rahillda Nadhirah Norizzaty

“…Among the evaluated species, Rubberwood exhibited the highest accuracy, with particularly strong results for Rubberwood Rot (92.2%) and Merbau Hole (95.6%), demonstrating the advantages of colour-based feature extraction in defect classification. …”
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The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition by M. A., Ameedeen, Marhaini, M. S.

“…While the algorithm helped to classify different types of wavelengths produced from the sensor, a classification-based algorithm via Pattern Recognition Method will be used to classify and match the food components. …”
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Accuracy assessment of urban growth pattern classification methods using confusion matrix and ROC analysis by Ghani N.L.A., Abidin S.Z.Z., Khalid N.E.A.

“…Classification (of information); Growth rate; Image resolution; Matrix algebra; Pattern recognition; Soft computing; Accuracy assessment; Accuracy of classifications; Classification methods; Confusion matrices; Expansion index; Receiver operating characteristic analysis; ROC analysis; Urban growth patterns; Urban growth…”

Songket pattern classification using backpropagation neural network / Nik Aidil Syawalni Nik Mazlan by Nik Mazlan, Nik Aidil Syawalni

“…The study's outcomes underscore the capability of the BPNN-based algorithm to attain remarkable accuracy in Songket pattern classification, thus showcasing its viability for real-world applications.…”
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Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns by Lei, I. L., Teh, Phoey Lee *, Si, Yain-Whar

“…However, existing segmentation methods are less effective in classifying 16 curve-shaped chart patterns from financial time series. In this paper, we propose three novel segmentation methods for classification of curveshaped chart patterns based on direct least squares fitting of ellipses. …”
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Classification of Lubricant Oil Odor-Profile Using Case-Based Reasoning by Suhaimi, Mohd Daud, M. S., Najib, Nurdiyana, Zahed

“…This paper presents the study of lubricant oil classification based on odor-profile using Case_based Reasoning (CBR) classifier.…”
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An investigation on pattern of unstable "Beta-Gamma (βγ)" magnetic classification of sunspot in type II burst, type III burst and type IV burst on active region / Siti Nur Umairah Sabri by Sabri, Siti Nur Umairah

“…The pattern of unstable "Beta-Gamma (βγ)" magnetic classification of sunspot has been investigated. …”
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Classification of daily torrential rainfall patterns based on a robust correlation measure by Shazlyn Milleana Shaharudin

“…Classification of daily torrential rainfall patterns based on a robust correlation measure by Shazlyn Milleana Shaharudin…”
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Automated Classification System for HEp-2 Cell Patterns by Nor Shaharim, Nur Ashiqin

“…The third stage feature extraction based on shape properties data extraction. The last stage uses classification based on different properties data abstracted. …”
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Novel Art-Based Neural Network Models For Pattern Classification, Rule Extraction And Data Regression by Yap , Keem Siah

“…This thesis is concerned with the development of novel neural network models for tackling pattern classification, rule extraction, and data regression problems. …”
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Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib by Najib, Muhammad Sharfi

“…This thesis presents the classification of Agarwood from Malaysia and Indonesia regions based on signal processing technique. …”
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