Search Results - (( using reduction methods algorithm ) OR ( basic selection method algorithm ))
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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A simplified PID-like ANFIS controller trained by genetic algorithm to control nonlinear systems
Published 2010“…Moreover, the GA was used to find the optimal settings for the input and output scaling factors for this controller, instead of the widely used trial and error method. …”
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Effect of model simplification through manual reduction in number of surfaces on room acoustics simulation
Published 2019“…Various simplification algorithms were previously suggested. However, they are highly demanding methods, which are more suitable for large complicated spaces. …”
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Deterministic phase sequence approach for peak to average power ratio reduction in orthogonal frequency division multiplexing systems
Published 2016“…The proposed idea reduces the computational complexity, processing time and the side information matrix content, basically and ensures the results. The first proposed method, called Gray Code-based Phase sequence (GCP) is a new low complexity PAPR reduction scheme based on a Gray code structure and a similarity measurement block; included on two steps: firstly, selecting the phase sequences based on Gray codes and finally, evaluating the similarity between the input and the output of the Power Amplifier (PA), among the selected phase sequences in the previous step. …”
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Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor
Published 2005“…The desired behavior of the adaptive controller is expressed by utilizing reference model, and the algorithms have been realized using the Lyapunov method and MIT rules. …”
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Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi
Published 2018“…Model Reference concept has been adapted combined with an adaptive set point regulation method selected as an adaptation method. The development of the controller is prepared based on practicality and current set up of this equipment in industry. …”
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Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph
Published 2016“…Followed by development of prediction algorithm for solar radiation using soft-computing methodologies. …”
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Loss reduction in distribution networks using new network reconfiguration algorithm
Published 1996“…Therefore, the solution algorithm of the proposed method can identify the most effective branch exchange operations for loss reduction, with a minimum computational efforts. …”
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Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Note that the 18-bus system is originally without any capacitor. Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
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10
Schelkunoff array synthesis methods using adaptive-iterative algorithm
Published 2003“…The adaptive-iterative algorithm is an error-reduction algorithm that has been extensively studied in recent years. …”
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11
An Alternative Algorithm for Soft Set Parameter Selection using Special Order
Published 2015“…Comparative analysis were performed between the proposed algorithm and the state-of-the-art parameter reduction algorithm using several soft set in terms of parameter reduction…”
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Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO
Published 2014“…The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. …”
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An ensemble feature selection method to detect web spam
Published 2018“…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
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Loss reduction in distribution networks by network reconfiguration: a two stage solution approach
Published 2004“…Therefore, the solution algorithm of the proposed method can identify the most effective branch exchange operations for loss reduction, with minimum computational efforts. …”
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PAPR Reduction Using Genetic Algorithm (GA) In OFDM System
Published 2018“…In order to reduce the PAPR performance in OFDM system, many reduction technique are explored. In this thesis, a Genetic algorithm (GA) technique is proposed. …”
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Distributed generation allocation to reduce losses and improve voltage profile genetic algorithm: article
Published 2010“…I used Newton Raphson for load flow algorithm and composed it with Genetic Algorithm. …”
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…In the nonlinear ANC literature, various nonlinear algorithms have been introduced. These nonlinear algorithms were employed to improve noise reduction performance. …”
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