我没有辱骂 发表于 2025-3-21 17:35:39
书目名称Nature-Inspired Design of Hybrid Intelligent Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0662073<br><br> <br><br>书目名称Nature-Inspired Design of Hybrid Intelligent Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0662073<br><br> <br><br>山顶可休息 发表于 2025-3-21 22:00:31
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https://doi.org/10.1007/978-3-319-47054-2Computational Intelligence; Nature-Inspired Optimization; Meta-Heuristics; Pattern Recognition; Time Ser拒绝 发表于 2025-3-22 07:42:15
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Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detectionnterval type-2 Choquet integral is proposed. The aggregation operator is used as a method to integrate the four gradients of the edge detector. Simulation results with real images and synthetic images are presented and the results show that the interval type-2 Choquet integral is able to improve the detected edge.homeostasis 发表于 2025-3-22 16:09:46
A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptationarameter and provide a different gravitation and acceleration to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantage of the proposed approach.insular 发表于 2025-3-22 19:50:41
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A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosiss of a modular neural network and its response with average integration. The proposed approach consists on applying these methods to find the best architecture of the modular neural network and the lowest prediction error. Simulations results show that the modular network produces a good diagnostic of the blood pressure of a patient.Cognizance 发表于 2025-3-23 08:56:53
A Competitive Modular Neural Network for Long-Term Time Series Forecastingthe modules are obtained from clustering the training data with a competitive layer. And each module consists of a single hidden layer nonlinear autoregressive neural network. This MNN architecture can be used for short-term and long-term time series forecasting.