存心
发表于 2025-3-28 18:19:59
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谁在削木头
发表于 2025-3-28 22:23:17
A Hybrid Recommender System Architecture for Learning Objectsle. We propose a hybrid recommender system that uses collaborative filtering techniques together with fuzzy inference systems to provide recommendations, considering the instructor’s experience as well as the ratings given by similar students.
注意力集中
发表于 2025-3-29 02:21:28
Book 2009on and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers ar
抵制
发表于 2025-3-29 03:13:52
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pacifist
发表于 2025-3-29 07:43:55
Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Infeill (HSM) and used to predict the transfer bar surface temperature at finishing Scale Breaker (SB) entry zone. Comparative results show the performance of the hybrid learning method (RLS-BP) against the only BP learning.
冒烟
发表于 2025-3-29 12:05:25
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谄媚于性
发表于 2025-3-29 17:07:44
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Kidnap
发表于 2025-3-29 22:41:54
TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulationrepresents a society with differences between individuals. Our proposal is to combine fuzzy logic, semantic networks and transactional analysis for representation of social interactions, taking into account the perception and a psychosocial profile of each individual. This model will facilitate the implementation of socially intelligent agents.
Orthodontics
发表于 2025-3-30 01:33:24
Controlling Unstable Non-Minimum-Phase Systems with Fuzzy Logic: The Perturbed Case used in a PD FLC to regulate a plant consisting in a non-minimum-phase servomechanism with nonlinear backlash. Simulations demonstrate that the proposed FLC can be used to handle the non-minimum-phase systems.
Tremor
发表于 2025-3-30 06:48:15
Genetic Optimization for the Design of Walking Patterns of a Biped Robotobot to obtain periodic motions while fulfills a minimal energy consumption over a complete walking cycle assumed as single support and instantaneous double support phases. Optimization results are presented showing walking patterns with low energy consumption and periodic motions.