Titlebook: Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms; IEEE/Nagoya-Universi Takeshi Furuhashi Conference proceedings 1995 Springe

侧面左右

Teizo Yoshimura,Jun-ichi Kuratsuthod of the fuzzy reasoning is the key issue. Some self-tuning methods have been proposed so far. However, these conventional self-tuning methods do not have sufficient capability of learning. In this paper, we propose new unsupervlsed/supervised self-tuning methods for fuzzy reasoning, which consis

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chemoprevention

先驱

Chemokine Receptors and Ligand Specificityh masks and have reported its effectiveness for money recognition. Recently, genetic algorithm (GA) is reported as the effective optimizing method. In this paper, we adopt the GA to mask optimization in the recognition method. Namely, we regard the position of the masked part in the input image as a

Goblet-Cells

谈判

Firefly

geriatrician

Cumulus

自作多情

Irina Kufareva,Ruben Abagyan,Tracy M. Handelogic. Recurrency preserves temporal information and yields superior performance for context dependent applications. It also reduces the convergence time. Simulations show good improvements in accuracy and speed of convergence in pattern recognition applications.