licence 发表于 2025-3-23 12:06:28
http://reply.papertrans.cn/88/8705/870426/870426_11.pngPerigee 发表于 2025-3-23 15:27:34
http://reply.papertrans.cn/88/8705/870426/870426_12.png巨头 发表于 2025-3-23 21:23:38
Brain Computer Interface Development Based on Recurrent Neural Networks and ANFIS Systems, based on the electric brain signals detected through a variety of modalities. Among these, electroencephalographic signals (EEG) have received considerable attention due to several factors arising on practical scenarios, such as noninvasiveness, portability, and relative cost, without lost on accucollagen 发表于 2025-3-24 00:15:20
An Analysis of the Relationship between the Size of the Clusters and the Principle of Justifiable Gre clusters, each cluster represents a coarse granule, whereas each data point represents a fine granule. All clustering algorithms find these relationships by different means, yet the notion of the principle of justifiable granularity is not considered by any of them, since it is a recent idea in thPastry 发表于 2025-3-24 03:01:43
http://reply.papertrans.cn/88/8705/870426/870426_15.png失望昨天 发表于 2025-3-24 07:20:32
http://reply.papertrans.cn/88/8705/870426/870426_16.pngSarcoma 发表于 2025-3-24 12:11:16
http://reply.papertrans.cn/88/8705/870426/870426_17.pngObstruction 发表于 2025-3-24 14:52:05
Multi-Objective Hierarchical Genetic Algorithm for Modular Granular Neural Network Optimization that the proposed modular neural network approach offers advantages over existing neural network models. Finally the modular neural networks are joined using type-2 fuzzy integration, which allows having a system with a better behavior and results.繁重 发表于 2025-3-24 21:41:37
An Analysis of the Relationship between the Size of the Clusters and the Principle of Justifiable Grir intrinsic implementation of the principle of justifiable granularity. An analysis is done with two datasets, simplefit and iris, and two clustering algorithms, subtractive and granular gravitational.欺骗手段 发表于 2025-3-25 01:41:01
High-Performance Architecture for the Modified NSGA-IIin the sorting process for the NSGA-II that improves the distribution of the solutions in the Pareto front. Results for five different test functions using distinct crossover and mutation operators to test performance are presented.