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

不怕任性

道學(xué)氣

Convolutional Neural Networks for Multiclass Classification of Masksong way toward preventing the spread of infections, so correct use is very important. Today, wearing masks in public places is a common practice, but the virus will continue to spread if not used correctly. This work aims to correctly detect and classify the use of masks, for which the use of cumula

坦白

BOOM

Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networkse detection filters in conjunction with fuzzy inference systems to perform fuzzy edge detection as a preprocessing layer before feeding the data to deep learning models to improve the accuracy of a recognition task. We trained multiple small neural networks and compared the results between the utili

出沒

Fuzzy Dynamic Adaptation of an Artificial Fish Swarm Algorithm for the Optimization of Benchmark Fun set of functions is presented in this paper. The main idea is present a proposal on adjusting the values in . and . parameters of the AFSA with T1FLS to improve the performance on the results. The efficiency of the Fuzzy AFSA (FAFSA) demonstrate that it is an excellent algorithm to solve benchmark

四溢

Particle Swarm Optimization Algorithm with Improved Opposition-Based Learning (IOBL-PSO) to Solve Coms. IOBL-PSO adds this mechanism at the end of each iteration to introduce randomness in the search process, improving the quality and the efficiency of the algorithm and to avoiding premature convergence. In such a way, the update mechanism of the particle positions in the proposed algorithm is mor

夜晚

Study on the Effect of Chaotic Maps in the Formation of New Universes in the Multiverse Optimizer Alrithm (MVO). We present new variations of the MVO algorithm, where we use Fuzzy Logic in combination with chaotic maps, to achieve a better improvement on the universes generated by the algorithm with respect to only using Fuzzy Logic. The use of chaotic maps substitutes a random parameter in the ge

Vasodilation

Performance Comparative of Surrogate Models as Fitness Functions for Metaheuristic Algorithmsjective function. This situation negatively impacts the performance of any Heuristic or deterministic solver since most of the computational time is invested into processing the fitness function. Surrogate models are used to reduce the computational time of processing complex functions by replacing

PATRI

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