Arora anuja – AbeBooks

Hardback. Etat : New. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.This book:Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network securityUtilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasksAddresses contemporary issues like fake news detection, social media analysis, and cybersecurityEmploys network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networksExplores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigmsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology.…

Computational Intelligence for Connective Cognition Networks: Advances, and Applications

Aggarwal, Kirti (Editor)/ Arora, Anuja (Editor)/ Akhter, Zahid (Editor)/ Bruno, Alessandro (Editor)

Langue : anglais

Edité par CRC Pr I Llc, 2025

1032942347 / 9781032942346

Couverture rigide

Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books

Vendeur avec une évaluation de 5 étoiles

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Etat: Neuf

EUR 201,58

EUR 11,77 expédition

Expédition depuis Royaume-Uni vers Etats-Unis

Quantité disponible : 2 disponibles

Hardcover. Etat : Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

Computational Intelligence for Connective Cognition Networks

Kirti Aggarwal

Langue : anglais

Edité par Taylor and Francis Ltd, GB, 2025

1032942347 / 9781032942346

Couverture rigide

Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK

Vendeur avec une évaluation de 5 étoiles

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Etat: Neuf

EUR 188,22

EUR 76,48 expédition

Expédition depuis Royaume-Uni vers Etats-Unis

Quantité disponible : Plus de 20 disponibles

Hardback. Etat : New. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.This book:Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network securityUtilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasksAddresses contemporary issues like fake news detection, social media analysis, and cybersecurityEmploys network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networksExplores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigmsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology.…

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Computational Intelligence for Connective Cognition Networks : Advances and Applications

Computational Intelligence for Connective Cognition Networks: Advances, and Applications (Advancing Science and Engineering through Artificial . Machine Learning, and Mathematical Modeling)

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Computational Intelligence for Connective Cognition Networks

Computational Intelligence for Connective Cognition Networks: Advances, and Applications

Computational Intelligence for Connective Cognition Networks