Nature-Inspired Design of Hybrid Intelligent Systems

QR Code (код быстрого отклика)

Nature-Inspired Design of Hybrid Intelligent Systems

Сохранить в:

Библиографические подробности
Главные авторы:	Melin, Patricia, Castillo, Oscar, Kacprzyk, Janusz
Формат:	‌
Язык:	English
Опубликовано:	Springer International Publishing 2020
Предметы:	Engineering Computational Intelligence
Online-ссылка:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/85875
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Схожие документы

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
по: Melin, Patricia, et al.
Опубликовано: (2015)

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
по: Castillo, Oscar, et al.
Опубликовано: (2020)

Fuzzy Logic in Intelligent System Design. 1st ed. 2018
по: Melin, Patricia, et al.
Опубликовано: (2020)

Hybrid Intelligent Systems
по: Castillo, Oscar, et al.
Опубликовано: (2020)

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction. 1st ed. 2018
по: Soto, Jesus, et al.
Опубликовано: (2020)

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
по: Castillo, Oscar, et al.
Опубликовано: (2020)

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
по: Castillo, Oscar, et al.
Опубликовано: (2020)

Intelligent Systems Design and Applications
по: Abraham, Ajith, et al.
Опубликовано: (2020)

Intelligent Systems Design and Applications
по: Abraham, Ajith, et al.
Опубликовано: (2020)

Hybrid Intelligent Systems
по: Madureira, Ana Maria, et al.
Опубликовано: (2020)

Hybrid Intelligent Systems
по: Abraham, Ajith, et al.
Опубликовано: (2020)

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics
по: Castillo, Oscar, et al.
Опубликовано: (2015)

New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension. 1st ed. 2018
по: Melin, Patricia, et al.
Опубликовано: (2020)

Nature-Inspired Optimizers
по: Mirjalili, Seyedali, et al.
Опубликовано: (2020)

Cohort Intelligence: A Socio-inspired Optimization Method
по: Kulkarni, Anand Jayant, et al.
Опубликовано: (2020)

Nature Inspired Computing for Data Science
по: Rout, Minakhi, et al.
Опубликовано: (2020)

Recent Contributions in Intelligent Systems
по: Sgurev, Vassil, et al.
Опубликовано: (2020)

Inspired by Nature. 1st ed. 2018
по: Stepney, Susan, et al.
Опубликовано: (2020)

Intelligent Systems Design and Applications
по: Madureira, Ana Maria, et al.
Опубликовано: (2020)

Intelligent Systems Design and Applications
по: Abraham, Ajith, et al.
Опубликовано: (2020)

Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)
по: Abraham, Ajith, et al.
Опубликовано: (2020)

Nature-Inspired Computing and Optimization
по: Patnaik, Srikanta, et al.
Опубликовано: (2020)

Springer Handbook of Computational Intelligence
по: Kacprzyk, Janusz, et al.
Опубликовано: (2020)

Analysis and Design of Intelligent Systems Using Soft Computing Techniques
по: Melin, Patricia, et al.
Опубликовано: (2020)

Harmony Search and Nature Inspired Optimization Algorithms
по: Yadav, Neha, et al.
Опубликовано: (2019)

Brain-Inspired Intelligence and Visual Perception
по: Wang, Wenfeng, et al.
Опубликовано: (2020)

Granular, Soft and Fuzzy Approaches for Intelligent Systems
по: Kacprzyk, Janusz, et al.
Опубликовано: (2020)

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
по: Amezcua, Jonathan, et al.
Опубликовано: (2020)

Nature Inspired Computing for Wireless Sensor Networks
по: De, Debashis, et al.
Опубликовано: (2020)

Nature-Inspired Algorithms and Applied Optimization. 1st ed. 2018
по: Yang, Xin-She
Опубликовано: (2020)

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
по: Castillo, Oscar, et al.
Опубликовано: (2020)

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
по: Kasabov, Nikola K.
Опубликовано: (2019)

Frontier Applications of Nature Inspired Computation
по: Khosravy, Mahdi, et al.
Опубликовано: (2020)

Nature-Inspired Computation in Data Mining and Machine Learning
по: Yang, Xin-She, et al.
Опубликовано: (2020)

Springer handbook of computational intelligence
по: Janusz Kacprzyk, et al.
Опубликовано: (2015)

Applied Nature-Inspired Computing: Algorithms and Case Studies
по: Dey, Nilanjan, et al.
Опубликовано: (2020)

Advanced Optimization by Nature-Inspired Algorithms. 1st ed. 2018
по: Bozorg-Haddad, Omid
Опубликовано: (2020)

Bio-Inspired Collaborative Intelligent Control and Optimization. 1st ed. 2018
по: Ding, Yongsheng, et al.
Опубликовано: (2020)

International Conference on Information Technology and Communication Systems. 1st ed. 2018
по: Noreddine, Gherabi, et al.
Опубликовано: (2020)

Quantum Inspired Intelligent Systems
по: Coelho, Leandro dos Santos
Опубликовано: (2020)