adaptive algorithm selection method
Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO OFDM
... antenna selection algorithms and techniques have been proposed for solving the mentioned dilemma in the MIMO-OFDM system so far, yet the results of those algorithms were not ...Genetic algorithm with ...
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Adaptive Feature Extraction and SVM Classification for Real-Time Fault Diagnosis of Drivetrain Gearboxes
... novel method consisting of effective adaptive feature extraction and SVM-based classification has been presented for CMFD of drivetrain gearboxes operating in variable- speed ...extraction method ...
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Feasibility Study of Parameter Identification Method Based on Symbolic Time Series Analysis and Adaptive Immune Clonal Selection Algorithm
... genetic algorithm (GA), it is still difficult to use it to solve complex ...sponse, adaptive mutation regulation and vaccination, are used to improve the CSA’s convergence speed and glo- bal optimum ...
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Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
... feature selection with the presence of class ...an Adaptive Sparse CW algorithm (ASCW) for imbalanced online-batch feature ...our method si- multaneously maintains multiple sparse CW ...
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An adaptive turbo-shaft engine modeling method based on PS and MRR-LSSVR algorithms
... an adaptive turbo-shaft engine model with high accuracy, a new modeling method based on parameter selection (PS) algorithm and multi-input multi-output recur- sive reduced least square support ...
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Efficient Web Service Retrieval Using Adaptive Genetic Algorithm
... service selection and composition have been reported in the literature ...The method is comprised of a service query model and two – phase optimization ...evolutionary algorithm. Since evolutionary ...
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State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models
... squares algorithm is tractable and can greatly improve the estimation for small sample ...spectral algorithm is unstable for small samples, which makes the state-by-state selection procedure return ...
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Adaptive Learning for Algorithm Selection in Classification
... learning method for helping user effectively to select the most appropriate learning algorithms and give the ranking recommendation ...proposed method and test extensively on other ...appropriate ...
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The Automatic Model Selection and Variable Width RBF Neural Networks for Chaotic Time Series Prediction
... self-adaptive algorithm is presented to achieve chaotic times series ...This method is based on an adaptive Orthogonal Least Squares(OLS) algorithm, that the automatic model ...
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Point Selection for Triangular 2 D Mesh Design Using Adaptive Forward Tracking Algorithm
... The simplest version models the motion in each block by a constant translation, so that the estimation problem becomes that of finding one motion vector for each block. This method provides a good compromise ...
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A Review on Genetic Algorithm Practice in Hadoop MapReduce
... Genetic algorithm is adaptive heuristics search algorithm based on the evolutionary ideas of natural selection and ...subset selection method is Hadoop platform using genetic ...
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An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 Model
... feature selection used to achieve the best subset of features in order to improve the ...Genetic algorithm (GA) is one of the evolutionary algorithms in- spired from nature and tries to find optimized ...
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The Effect of Adaptive Gain and Adaptive Momentum in Improving Training Time of Gradient Descent Back Propagation Algorithm on Classification Problems
... a method for automatic gain tuning using a fuzzy logic ...a method to change adaptively gain value on other optimisation method such as conjugate ...
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Computational identification of deleterious synonymous variants in human genomes using a feature-based approach
... bioinformatics method designed to discrimin- ate between functional and non-functional sSNVs, is based on a random forest (RF) model trained with a diverse set of 26 features including conservation, codon usage, ...
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Adaptive Routing Algorithms Based Fault-Tolerant In 3D Noc
... status. Adaptive routing algorithms can be either partially adaptive or fully ...partially adaptive routing algorithms, packets are limited to choose among some shortest paths, whereas in fully ...
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A FAST ANALYTICAL METHOD FOR OPTIMUM INTEGER BIT LOADING IN OFDM SYSTEMS
... greedy algorithm allocates only one bit to one subcarrier at each iteration, while in EBR/EBF algorithm one bit is allocated to a group of subcarriers at each iteration, and in the proposed ...
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Load Controlled Adaptive P&O MPPT Controller PV Energy Systems
... A adaptive pert urb and observe (P&O) maximum power point tracking (MPPT) algorithm is proposed to track the maximum power under sudden changes in ...proposed method consists of three algorithms, ...
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A Survey on Intrusion Detection Techniques
... Optimization Algorithm (BCO), Ant Colony Optimization Algorithm (ACO), and Particle Optimization Algorithm ...Each Algorithm try to do best in a particular way but there are always some ...
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Adaptive approaches for keystroke dynamics
... Abstract-Enhanced authentication mechanisms are currently needed in several situations. Mainly due to the widespread use of the Internet, data exposure became a source of growing concern. Commonly used login and password ...
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An Enhanced Image Denoising technique using Wavelet Threshold and Genetic Algorithm
... ABSTRACT: In the process of image acquisition and transmission, noise is always contained inevitably. So it is necessary to image denoising processing to improve the quality of image. Generally speaking, each ...
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