Search Results - (( pattern classification problems algorithm ) OR ( based applications using algorithm ))
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Mussels wandering optimization algorithmn based training of artificial neural networks for pattern classification
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Conference or Workshop Item -
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…The second one is to develop prototype for classification of credit cardholder behavior based on k Nearest Neighbors Algorithm. …”
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Thesis -
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Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm
Published 2010“…In this work, we integrate artificial immune algorithm with non-linear classification of pattern recognition and machine learning methods to solve the problem of intrusion detection in network systems. …”
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Citation Index Journal -
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Evaluation and optimization of frequent association rule based classification
Published 2014“…Deriving useful and interesting rules from a data mining system is an essential and important task. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules from a database commonly occur. …”
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Article -
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Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…The focus of this thesis is on solvingclustering and classification problems. Specifically, we will focus on new optimization methods for solving clustering and classification problems. …”
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Thesis -
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Biceps brachii surface EMG classification using neural networks
Published 2012“…With these satisfactory results, the effectiveness of the proposed classifiers in EMG pattern classification problem is proven.…”
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Thesis -
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Multilevel learning in Kohonen SOM network for classification problems
Published 2006“…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. …”
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Thesis -
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The architecture provides a novel method to pattern recognition and is expected to be robust to any pattern recognition problem. …”
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Thesis -
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…Ensemble method is considered as a new direction in pattern classification. Accuracy and diversity in a set of classifiers are two important things to be considered in constructing classifier ensemble.Several approaches have been proposed to construct the classifier ensemble. …”
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Article -
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Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
Published 2017“…A spatial filtering algorithm called Common Spatial Pattern (CSP) was developed and known to have excellent performance, especially in motor imagery for BCI application. …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The performance of MANFIE was compared with existing methods in a diversity of practical benchmark applications such as pattern classifications, time series predictions, modeling with inverse learning control and mobile robot navigation. …”
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Thesis -
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Rough Set Discretize Classification of Intrusion Detection System
Published 2016“…Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. …”
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Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection
Published 2020“…Four state-of-the-art algorithms include particle swarm optimization, flower pollination algorithm, butterfly optimization algorithm, and CBGWO are used to examine the effectiveness of proposed methods in feature selection. …”
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Improving hand written digit recognition using hybrid feature selection algorithm
Published 2022“…In the field of machine learning, handwritten digit recognition was known as one of the crucial problems for pattern recognition and computer vision applications. …”
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Final Year Project / Dissertation / Thesis -
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Neuro fuzzy classification and detection technique for bioinformatics problems
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Book Section -
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