Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development.
Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.
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1. Application and Techniques of Opinion Mining
2. Influence of Big Data in Smart Tourism
3. Deep learning and its applications for Content-Based Video Retrieval
4. A Computationally Intelligent agent for detecting fake news using Generative Adversarial networks (GANs)
5. Detection of Primary Glaucoma using ANN with the help of Back Propagation algo in Bio-medical Image Processing
6. Hybrid Computational Intelligence with Applications to BioMedical Image and HealthCare
7. Application of Hybrid Computational Intelligence in Healthcare
8. Utility System for premature plant disease detection using machine learning
9. Artificial Intelligence-Based Computational Fluid Dynamics (CFD) Approaches
10. Real-Time Video Segmentation using a Vague Adaptive Threshold
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A Volume in the Hybrid Computational Intelligence for Pattern Analysis and Understanding Series
Provides insights into the latest research trends in hybrid intelligent algorithms and architectures
Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction
Features hybrid intelligent applications in biomedical engineering and healthcare informatics
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Produktdetaljer
ISBN
9780128186992
Publisert
2020-03-06
Utgiver
Elsevier Science Publishing Co Inc
Vekt
410 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
250