IEEE

T3-ANFIS: Type-3 Adaptive Neuro-Fuzzy Inference System With a Noniterative Learning Algorithm

Abstract: Recently, type-3 (T3) fuzzy logic systems (FLSs) have been widely used in various problems, such as modeling, control systems, image processing, forecasting problems, optimization algorithms ...
Scientific Research Publishing

Wu, W. (2025) Automotive Motor Fault Diagnosis Model Integrating Machine Learning Algorithm and Fuzzy Control Theory. International Journal of Fuzzy Systems.

ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
marktechpost

Google AI Introduces PlanGEN: A Multi-Agent AI Framework Designed to Enhance Planning and Reasoning in LLMs through Constraint-Guided Iterative Verification and Adaptive ...

Large language models have made remarkable strides in natural language processing, yet they still encounter difficulties when addressing complex planning and reasoning tasks. Traditional methods often ...
The Next Platform

How Did DeepSeek Train Its AI Model On A Lot Less – And Crippled – Hardware?

Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing that the indigenous AI vendors in the United States are standing up to ...
IEEE

Improved basic inference models of fuzzy Petri nets

Abstract: The reasoning efficiency and reliability of fuzzy Petri nets (FPNs) have been the crucial and intractable issues. This paper proposes improved basic inference models of FPNs. One of the ...