Search Results - (( evolution optimization mining algorithm ) OR ( variable writing based algorithm ))

Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim by Halim, Zulkifli

“…This study has proposed an automated model selection based on the exhaustive search algorithm—that caused the timeout and memory leak issues. …”
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Offline handwritten Chinese character using convolutional neural network: State-of-the-art methods by Zhong, Yingna, Kauthar, Mohd Daud, Ain Najiha, Mohamad Nor, Ikuesan, Richard Adeyemi, Moorthy, Kohbalan

“…However, the recognition accuracy of offline HCCR is still a sophisticated challenge owing to their complexity and variety of writing styles. With the advancement of deep learning, convolutional neural network (CNN)-based algorithms have demonstrated distinct benefits in offline HCCR and have achieved outstanding results. …”
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Offline handwritten chinese character using convolutional neural network : State-of-the-art methods by Zhong, Yingna, Kauthar, Mohd Daud, Ain Najiha, Mohamad Nor, Ikuesan, Richard Adeyemi, Moorthy, Kohbalan

“…However, the recognition accuracy of offline HCCR is still a sophisticated challenge owing to their complexity and variety of writing styles. With the advancement of deep learning, convolutional neural network (CNN)-based algorithms have demonstrated distinct benefits in offline HCCR and have achieved outstanding results. …”
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A customized floating-point processor design for FPGA and ASIC based thermal compensation in high-precision sensing by Sajjad, M., Yusoff, M.Z., Ahmed, M.

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