共栖
发表于 2025-3-27 00:02:27
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nephritis
发表于 2025-3-27 02:44:38
A Fuzzy Time Series Model in Road Accidents Forecast,w that the performance measure of mean absolute forecasting error is less than 10 percent. Thus it would be suggested that the Liu et al., model practically fit with the Malaysian road accidents data.
Graves’-disease
发表于 2025-3-27 06:23:48
A Jordan Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat Region,mparatively superior to MLP and PSNN models, with the combination of learning rate 0.1, momentum 0.2 and network architecture 4-2-1 andlower prediction error. Thus, revealing a great potential for JPSN as an alternative mechanism to both PSNN and MLP in predicting the temperature measurement for one-step-ahead.
借喻
发表于 2025-3-27 12:11:05
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capillaries
发表于 2025-3-27 13:49:22
Fuzzy Modified Great Deluge Algorithm for Attribute Reduction,ing a fuzzy logic controller. Computational experiments confirmed that the Fuzzy-mGD algorithm produces good results, with greater efficiency for attribute reduction, when compared with other meta-heuristic approaches from the literature.
ineptitude
发表于 2025-3-27 18:40:08
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规章
发表于 2025-3-28 01:59:05
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Expressly
发表于 2025-3-28 04:07:29
A Legendre Approximation for Solving a Fuzzy Fractional Drug Transduction Model into the Bloodstrea engineering and bioengineering literatures, little attention has been paid to this class of models in the pharmacokinetics-pharmacodynamic (PKPD) literature. In this research, we are confined with the application of Legendre operational matrix for solving fuzzy fractional differential equation aris
牢骚
发表于 2025-3-28 07:31:18
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表脸
发表于 2025-3-28 12:14:29
A New Binary Particle Swarm Optimization for Feature Subset Selection with Support Vector Machine,ance deterioration of phishing and spam detection systems are attributed to high feature dimensionality as well as the computational cost during feature selection. This consequently reduces the classification accuracy or detection rate and increases the False Positive Rate (FPR). This research is se