ANTH 发表于 2025-3-23 11:07:17
Alejandra Mancilla,Oscar Castillo,Mario García-ValdezHemiplegia 发表于 2025-3-23 14:46:28
José Fernando Padrón-Tristán,Laura Cruz-Reyes,Rafael A. Espin-Andrade,Claudia Guadalupe Gómez Santil预测 发表于 2025-3-23 18:58:21
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 algoritRankle 发表于 2025-3-23 22:39:25
Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristicsencomiast 发表于 2025-3-24 02:56:47
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.唤醒 发表于 2025-3-24 07:11:31
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.叙述 发表于 2025-3-24 12:19:28
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 mathematEstimable 发表于 2025-3-24 15:26:50
http://reply.papertrans.cn/44/4302/430106/430106_18.pngLice692 发表于 2025-3-24 19:17:00
http://reply.papertrans.cn/44/4302/430106/430106_19.pnglanguor 发表于 2025-3-24 23:31:48
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