Accurate estimation of the state of charge (SOC) is critical for battery management systems. A backpropagation neural network (BPNN) based on a modified fuzzy sunday algorithm is proposed to improve the accuracy of SO...
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Accurate estimation of the state of charge (SOC) is critical for battery management systems. A backpropagation neural network (BPNN) based on a modified fuzzy sunday algorithm is proposed to improve the accuracy of SOC predictions of lithium-ion batteries (LIBs). The road condition information relating to the data is obtained using the fuzzy sunday algorithm, and the acquired feature information is used to estimate SOC using BPNN based on the Levenberg-Marquardt (L-M) training process. The change from exact character matching to fuzzy number matching is an improvement to the sunday algorithm. The quantification of the road condition is innovatively integrated into the neural network. At present, this kind of feature is new to the estimation process, and our experiment proved that the effect is good. To quickly estimate the SOC under different driving conditions, the same network was used to predict the data of different road conditions. In addition, a strategy is proposed for SOC estimation under unknown road conditions, which improves the estimation accuracy. Studies have shown that the model used in the experiment is more accurate than other machine learning models. This model assures prediction accuracy, reliability, and timeliness.
This article improved the sunday substring searching algorithm, an extra jump arry be created, when a mismatching occurs, the pattern string will jump twice, more redundant matching be reduced. This article describes ...
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ISBN:
(纸本)9781479959709
This article improved the sunday substring searching algorithm, an extra jump arry be created, when a mismatching occurs, the pattern string will jump twice, more redundant matching be reduced. This article describes how to realize the method, and analyses its accuracy and efficiency.
The pattern matching algorithm is one of the core algorithms used in the intrusion detection system. The classical snort system has completed the matching for characteristic string of intrusion through the BM single-p...
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ISBN:
(纸本)9781467376822
The pattern matching algorithm is one of the core algorithms used in the intrusion detection system. The classical snort system has completed the matching for characteristic string of intrusion through the BM single-pattern algorithm. In actual application, the sunday algorithm has a efficiency higher than the BM algorithm. In this text, an extra jump array was added to the jump arrays of the sunday algorithm. When it appears unequal characters during the procedure of matching, make twice jumps successively and help decrease the redundant matching to a greater extent. This text describes how to realize twice-jumps algorithm and its analysis and experimental verification show the accuracy and efficiency of the improved algorithm compared with the sunday algorithm.
The pattern matching algorithm is one of the core algorithms used in the intrusion detection system. The classical snort system has completed the matching for characteristic string of intrusion through the BM single-p...
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ISBN:
(纸本)9781467376839
The pattern matching algorithm is one of the core algorithms used in the intrusion detection system. The classical snort system has completed the matching for characteristic string of intrusion through the BM single-pattern algorithm. In actual application, the sunday algorithm has a efficiency higher than the BM algorithm. In this text, an extra jump array was added to the jump arrays of the sunday algorithm. When it appears unequal characters during the procedure of matching, make twice jumps successively and help decrease the redundant matching to a greater extent. This text describes how to realize twice-jumps algorithm and its analysis and experimental verification show the accuracy and efficiency of the improved algorithm compared with the sunday algorithm.
Pattern matching for intrusion feature strings is an important basis for detecting invasion, thus the efficiency of pattern matching is a key factor influencing the performance of intrusion detection. Based on the dis...
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ISBN:
(纸本)9781479900930
Pattern matching for intrusion feature strings is an important basis for detecting invasion, thus the efficiency of pattern matching is a key factor influencing the performance of intrusion detection. Based on the discussion of the classic BM (Boyer-Moore), BMH (Boyer-Moor-Horspool) and sunday algorithms for pattern matching, an improved algorithmsunday-C is proposed. By adding an extra skip before a match, sunday-C produces a bigger skip distance for reducing the number of match loops and increasing the match the efficiency. Theoretical analysis and experimental test of this paper compares the classic algorithm and improved algorithms for matching performance. The result shows that improved algorithm can save matching time. When applied to the intrusion detection, this algorithm will enhance the detection efficiency.
In this paper, we study how to improve the efficiency of classic AC matching algorithm for scanning systems, and proposed an algorithm named AC-SUN based on sunday matching algorithm. In our design, AC-SUN combines ju...
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ISBN:
(纸本)9783037858646
In this paper, we study how to improve the efficiency of classic AC matching algorithm for scanning systems, and proposed an algorithm named AC-SUN based on sunday matching algorithm. In our design, AC-SUN combines jumps strengths of sunday algorithm and AC algorithm to avoid verbatim matching problem, meanwhile it retaining the advantages of the AC algorithm that establishes state tree and invalid pointer to increasing successful matching percentage. Our experimental result also verified its superiority to the classic AC algorithm.
Pattern matching for intrusion feature strings is an important basis for detecting invasion, thus the efficiency of pattern matching is a key factor influencing the performance of intrusion detection.
ISBN:
(纸本)9781479900961
Pattern matching for intrusion feature strings is an important basis for detecting invasion, thus the efficiency of pattern matching is a key factor influencing the performance of intrusion detection.
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