Titlebook: New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metah; Oscar Castillo,Patricia Melin Book 2

健壯

Enrique Lizarraga,Fevrier Valdez,Oscar Castillo,Patricia Melinors to the stochastic stability theory. We are indebted to the National Center for Earthquake Engineering Research (NCEER) for financial support. Most credit belongs to each of the authors whose contributions were the very basis for the undoubted success of the conference. We are grateful to the rev

Brain-Waves

contributors to the stochastic stability theory. We are indebted to the National Center for Earthquake Engineering Research (NCEER) for financial support. Most credit belongs to each of the authors whose contributions were the very basis for the undoubted success of the conference. We are grateful to the revi978-3-642-84536-9978-3-642-84534-5

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Automated Medical Diagnosis and Classification of Skin Diseases Using Efficinetnet-B0 Convolutional aper, an expert system was created using the EfficientNet B-0 model, and the model can also be used to assist specialists in more effectively and efficiently identifying and diagnosing various significant skin diseases such as (Eczema, Psoriasis & Lichen Planus, Benign Tumours, Fungal Infections, an

時(shí)間等

Modular Approach for Neural Networks in Medical Image Classification with Enhanced Fuzzy Integrationn image-related problems. In the presented work the contribution is a robust modular approach for combining these two paradigms of image analysis into one cooperative system that is unified by a fuzzy system designed for an output integration resulting in one image classifier that using both perspec

Coeval

A Novel Distributed Nature-Inspired Algorithm for Solving Optimization Problems where they age and suffer mutations throughout their lives. In reproduction, couples match by mutual attraction, where they may have offspring. Death can happen to everyone: from a newborn to an aged adult, where the individual‘s fitness will impact their longevity. As a proof-of-concept, we implem

Prognosis

A New Fuzzy Approach to Dynamic Adaptation of the Marine Predator Algorithm Parameters in the Optimialgorithm evaluates its performance with a group of 19 benchmark functions of the CEC-2017 that is composed of 2 unimodal functions, 7 multimodal functions, and 10 hybrid functions, the results show that the fuzzy marine predators algorithm provides better results than MPA. The fuzzy marine predator

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