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Titlebook: Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics; Oscar Castillo,Patricia Melin Book 2023

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發(fā)表于 2025-3-23 11:07:17 | 只看該作者
Alejandra Mancilla,Oscar Castillo,Mario García-Valdez
12#
發(fā)表于 2025-3-23 14:46:28 | 只看該作者
José Fernando Padrón-Tristán,Laura Cruz-Reyes,Rafael A. Espin-Andrade,Claudia Guadalupe Gómez Santil
13#
發(fā)表于 2025-3-23 18:58:21 | 只看該作者
Book 2023ons of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorit
14#
發(fā)表于 2025-3-23 22:39:25 | 只看該作者
Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics
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發(fā)表于 2025-3-24 02:56:47 | 只看該作者
Quanvolutional Neural Network Applied to MNISTrable performance tradeoff over a classical CNN LeNet5 model. We used the MNIST hand-written digits dataset to perform the evaluation using well-known metrics such as accuracy, precision, F1 score, latency, throughput, and others.
16#
發(fā)表于 2025-3-24 07:11:31 | 只看該作者
Study on the Effect of Chaotic Maps in the Formation of New Universes in the Multiverse Optimizer Al chaotic maps in the MVO algorithm, by generating new universes when using the chaotic map in a specific parameter of the algorithm, and then, go through further testing on more complex problems, like optimizing fuzzy controllers.
17#
發(fā)表于 2025-3-24 12:19:28 | 只看該作者
A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithming, predators, pests, etc. To model this ecological environment, we used the Lotka-Volterra (LV) system of continuous equations: LV Predator–Prey Model, LV Cooperative Model and LV Competitive Model, certainly these LV models are represented in this ecosystem, we performed experiments with mathemat
18#
發(fā)表于 2025-3-24 15:26:50 | 只看該作者
19#
發(fā)表于 2025-3-24 19:17:00 | 只看該作者
20#
發(fā)表于 2025-3-24 23:31:48 | 只看該作者
Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset of elements by evaluating its attributes; it imitates how people talk, and it allows to mathematically model problems where the data is incomplete or vague; classification is performed by the discovery and evaluation of fuzzy predicates. The independent predictions by the rule set generated through
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