This paper introduces a recurrent neural-fuzzy network (RNFN) based on improved particle swarm optimization (IPSO) for pattern recognition applications.
This paper introduces a recurrent neural-fuzzy network (RNFN) based on improved particle swarm optimization (IPSO) for pattern recognition applications.
مرکز منطقه ای اطلاع رساني علوم و فناوري - Pattern recognition using ...
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This paper introduces a recurrent neural-fuzzy network (RNFN) based on improved particle swarm optimization (IPSO) for pattern recognition applications.
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This study is intended to develop an intelligent supplier decision support system which is able to consider both the quantitative and qualitative factors.
Missing: Pattern recognition
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Mar 18, 2023 · This study developed a multihybrid adaptive neuro-fuzzy inference system (ANFIS) for students' residences, using the University of Johannesburg residence, ...
Pattern recognition using neural-fuzzy networks based on improved particle swam optimization. Cheng-Jian Lin Expert systems with applications.2009, Vol. 36(3) ...
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This paper proposes a new adaptive benzene prediction model using an improved particle swarm optimization (PSO) based adaptive neuro fuzzy inference system ( ...
Feb 15, 2018 · This paper proposes a new adaptive benzene prediction model using an improved particle swarm optimization (PSO) based adaptive neuro fuzzy ...
Missing: Pattern recognition