[PDF] Top 20 Optimal Feature Selection by Genetic Algorithm for Classification Using Neural Network
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Optimal Feature Selection by Genetic Algorithm for Classification Using Neural Network
... In this case the EEG signals were recorded with a Biosemi system using a cap having 32 integrated electrodes. These electrodes are located according to the standard positions of the International 10–20 system. The ... See full document
5
Genetic Algorithm based Feature Extraction for ECG Signal Classification using Neural Network
... work, classification technique in data mining is used for classifying normal and abnormal ...Tompkin algorithm is used for de-noising of Electrocardiogram (ECG) signals and to obtain QRS on filtered ... See full document
5
Web Text Classification Using Genetic Algorithm and a Dynamic Neural Network Model
... matrix. Feature engineering method is applied to reduce the number of ...features. Genetic Algorithm is applied to extract the most relevant features for ...Artificial Neural Networks, which ... See full document
7
Feature selection from colon cancer dataset for cancer classification using Artificial Neural Network
... by using feature selection method on cancerous ...Correlation-Based Feature Selection (FCBFS) technique with PA-SVM classifier for the filtering of irrelevant and redundant features ... See full document
7
Spam detection using hybrid of artificial neural network and genetic algorithm
... by using the roots and the second one deal with the ...are using to determine the inputon the ...Bayesian classification, which are: probabilistic, binary, and advance probabilistic ... See full document
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Feature selection of microarray data using genetic algorithms and artificial neural networks
... the classification ability of features. As expected for each network, training after one epoch resulted in a classification score close to random and as the epoch number increased the ... See full document
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Mitigating Economic Denial of Sustainability (EDoS) in Cloud Environment using Genetic Algorithm and Artificial Neural Network
... utilizes Genetic Algorithm and Artificial Neural Network (GANN) for classification of cloud server consumer to minimize the effect of EDoS attacks and will be beneficial to small and ... See full document
7
Optimized feature selection for tropical wood species recognition using genetic algorithm
... The work includes the use of grey level co-occurrence matrix (GLCM) technique and Gabor filters for extracting the texture features of the wood species and using multi-layer back propagation neural ... See full document
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Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification
... etc. Using this machine learning approach relative to other approaches like SRAN, ELM and SVM, we can better identify the significance of parameters and can define whether the patient has depression or not with ... See full document
11
An Efficient Method for Automatic Classification of Brain MRI using Feature Selection and Modified Probabilistic Neural Network
... Automated classification and identification of the tumors indifferent medical images are simulated by the inevitable elevated precision of a user’s ...and classification outcomes are ...toward ... See full document
6
Comparative Study of Artificial Neural Networks and Convolutional Neural Network for Crop Disease Detection
... and classification in crops. The crop disease detection and classification will be done using image processing techniques of image segmentation, feature extraction, feature ... See full document
5
A Genetic Algorithm-Based Feature Selection
... dimensional feature set can negatively affect the performance of pattern or image recognition ...the classification accuracy of the recognition system since some of the features may be redundant and non- ... See full document
7
Neural Network and Genetic Algorithm Based Finite Element Model for Optimal Die Shape Design in Al 1100 Cold Forward Extrusion
... Typical flow patterns observed in extrusion are shown in Fig. (1)[9]. Flow pattern S is found in the absence of friction at the container and die interfaces, during extrusion of homogeneous materials. A Flow pattern is ... See full document
9
Comparing Feature Selection Method For Neural Network Classification
... training algorithm such as Back propagation (BP) is ...performance, feature selection method is used. Feature selection can reduce the number of input or predictable ...word, ... See full document
24
Beat classification of an ecg signal using photoplethysmography and neural network
... parameters using photoplethysmography ...A feature selection algorithm utilizing the concept of Maximal Information Coefficient (MIC) is presented to rank the PPG features according to their ... See full document
6
APPLICATION OF CELLULAR AUTOMATA FOR MODELING AND REVIEW OF METHODS OF MOVEMENT OF A GROUP OF PEOPLE
... The genetic algorithm, which was invented by John Holland in the 1960s [27], it is the heuristic search and optimization technique that mimics the process of natural ...the optimal solution. The ... See full document
13
Feature Selection Method for Speaker Recognition using Neural Network
... system. Feature vectors that represent the voice signal of speaker are extracted and are used in the formation of reference model through the use of neural network training ...same feature ... See full document
7
Research on English translation distortion detection based on image evolution
... recognizes the text, the recognition result can be cor- rected by combining the context information of the single word on the basis of identifying the word, and the word or even the sentence is used as the result of the ... See full document
8
AN APPROACH FOR FEATURES MATCHING BETWEEN BILATERAL IMAGES OF STEREO VISION SYSTEM APPLIED FOR AUTOMATED HETEROGENEOUS PLATOON
... signals classification system in ...processing algorithm and an algorithm of artificial ...processing algorithm is used to extract the characteristics of the PCG signal, based on the discrete ... See full document
10
Study on a Hybrid Approach for Improving Clinical Behavior of Cancer by Assorting Informative Genes
... original algorithm was used to find the best path in a graph. The algorithm was later modified to solve a wide class of problems across various ...GA: Genetic Algorithm is a type of ... See full document
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