Search Results - (( rule extraction _ algorithm ) OR ( based observations based algorithm ))

Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions by Altwallbah, Neda Mahmod Mohammad.

“…The second is to propose a hybrid MPPT algorithm based on modified P&O algorithm assisted by Extremum Seeking Control (ESC) approach, in order to maximize the extracted PV power under complex PSC. …”
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Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection by Yap K.S., Wong S.Y., Tiong S.K.

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Understanding the purchasing behavior of Agri-food commodities in Malaysia using the Apriori algorithm by Tanakinjal, Geoffrey Harvey, Boniface, Bonaventure, Kamu, Assis, Kogid, Mori, Sondoh, Stephen L., Gugkang, Alesia Sigang, Krishnan, Anath Rau, Alfred, Rayner, Arumugam, Nalini, Mohd Nawi, Nolila, Liew, Venus Khim Sen, Entebang, Harry

“…This also will expose the purchase pattern behavior for all the households in Malaysia. Based on the findings of this paper, the extracted rule which has the highest LIFT’ value states that when chicken (Keratan Daging Ayam), other vegetables (Lain-lain Sayur-sayuran) and fish (Ikan) occur together, it is likely or observed that fruit (Lain-lain Buah-buahan) is also present. …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning by Koe, Jia Chi

“…YOLO achieves 100% accuracy in extracting cracks and near 80% accuracy in extracting teeth-marks. …”
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Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat by Mohammad Ahmad, Jomah Tubishat

“…In addition, extraction rules including either pattern-based or dependency-based rules should be selected in a correct way to remove the irrelevant rules and minimize the extraction errors Thus, in this study, to select the most effective extraction rules, an improved version of Whale Optimization Algorithm (IWOA) is developed and applied to a full set of rules. …”
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A Rule Extraction Algorithm That Scales Between Fidelity and Comprehensibility by Muthu Anbananthen, Kalaiarasi Sonai, Chan, Fabian Huan Pheng*, Subramaniam, Subhacini, Eimad Eldin, Abdu Ali Abusham

“…Since the needs of comprehensibility or fidelity may vary depending on the user or application, this paper presented a significance based rule extraction algorithm that allows a user set parameter to scale between the desired degree of fidelity and comprehensibility of the rules extracted. …”
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Topic identification using filtering and rule generation algorithm for textual document by Nurul Syafidah, Jamil

“…The rule generation algorithm (TopId) is proposed to identify topic for each verse based on the extracted terms. …”
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification by Quteishat, A., Lim, C.P., Tan, K.S.

“…Fuzzy if-then rules are extracted from the modified FMM classifier, and a ``don't care'' approach is adopted by the GA rule extractor to minimize the number of features in the extracted rules. …”
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A new ant based rule extraction algorithm for web classification by Ku-Mahamud, Ku Ruhana, Saian, Rizauddin

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Study of stemming algorithm for Malay words which begin with alphabets 'M' / Mohd Zawawi Mohd Yunus by Mohd Yunus, Mohd Zawawi

“…These stemming algorithm problems will be solved by doing five experiments such as analysis the existing algorithm, do correction in the file, adding rules, correct the stemming algorithm and use two combination rules. …”
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Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

“…The primary concept of association rule algorithms consist of two phase procedure. In the first phase, all frequent patterns are found and the second phase uses these frequent patterns in order to generate all strong rules. …”
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Ant colony optimization for rule induction with simulated annealing for terms selection by Saian, Rizauddin, Ku-Mahamud, Ku Ruhana

“…This paper proposes a sequential covering based algorithm that uses an ant colony optimization algorithm to directly extract classification rules from the data set.The proposed algorithm uses a Simulated Annealing algorithm to optimize terms selection, while growing a rule.The proposed algorithm minimizes the problem of a low quality discovered rule by an ant in a colony, where the rule discovered by an ant is not the best quality rule, by optimizing the terms selection in rule construction. …”
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Metadata network visualizer by Abdul Hamid, Jamaliah, Ibrahim, Hamidah, Selamat, Mohd Hasan, Abdullah, Rusli, Abdullah, Muhamad Taufiq, Nasharuddin, Nurul Amelina, Wan Isa, Wan Malini

“…The new metadata extraction algorithm is essentially hand-crafted rules. …”
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Improved GART neural network model for pattern classification and rule extraction with application to power systems by Yap K.S., Lim C.P., Au M.T.

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A rule-based parameter aided with object-based classification approach for extraction of building and roads from WorldView-2 images by Ziaei, Zahra, Pradhan, Biswajeet, Mansor, Shattri

“…The advantages offered by the proposed rules were not provided by other two applied algorithms and it revealed the highest accuracy compared to SVM and NN. …”
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Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation by Yousfi, Bilal, Zeki, Akram M.

“…The sound features are extracted during the features extraction using the well-known algorithm which is Mel-Frequency Cepstral Coefficient (MFCC). …”
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The framework of weighted subset-hood Mamdani fuzzy rule based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand by Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod

“…Fuzzy rules are very important elements that should be taken consideration seriously when applying any fuzzy system.This paper proposes the framework of Mamdani Fuzzy Rule-based System with Weighted Subset-hood Based Algorithm (MFRBS-WSBA) in the fuzzy rule extraction for electricity load demand forecasting.The framework consist of six main steps: (1) Data Collection and Selection; (2) Preprocessing Data; (3) Variables Selection; (4) Fuzzy Model; (5) Comparison with Other FIS and (6) Performance Evaluation. …”
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Discovering association rules for mining images datasets: a proposal by Hamzah, Azizi, O. K. Rahmat, Rahmita Wirza, Sulaiman, Md. Nasir

“…Finally, the association rules will determine using an adaptation of the Apriori Algorithm. …”
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Improving mining efficiency: A new scheme for extracting association rules by Said, Aiman Moyaid, Dominic, P D D., Abdullah, Azween

“…In the age of information technology, the amount of accumulated data is tremendous. Extracting the association rule from this data is one of the important tasks in data mining.Most of the existing association rules in algorithms typically assume that the data set can fit in the memory.In this paper, we propose a practical and effective scheme to mine association rules from frequent patterns, called Prefixfoldtree scheme (PFT scheme).The original dataset is divided into folds, and then from each fold the frequent patterns are mined by using the tree projection approach.These frequent patterns are combined into one set and finally interestingness constraints are used to extract the association rules.The experiments will be conducted to illustrate the efficiency of our scheme.…”
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