Computational Intelligence Connective Cognition (17 results)

- Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
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Computational Intelligence for Connective Cognition Networks : Advances and Applications
Aggarwal, Kirti (EDT); Arora, Anuja (EDT); Akhtar, Zahid (EDT); Bruno, Alessandro (EDT)
- Hardcover
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- Hardcover
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Computational Intelligence for Connective Cognition Networks : Advances and Applications
Aggarwal, Kirti (EDT); Arora, Anuja (EDT); Akhtar, Zahid (EDT); Bruno, Alessandro (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
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Computational Intelligence for Connective Cognition Networks : Advances and Applications
Aggarwal, Kirti (EDT); Arora, Anuja (EDT); Akhtar, Zahid (EDT); Bruno, Alessandro (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Computational Intelligence for Connective Cognition Networks : Advances and Applications
Aggarwal, Kirti (EDT); Arora, Anuja (EDT); Akhtar, Zahid (EDT); Bruno, Alessandro (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.

- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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- Hardcover
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- Hardcover
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- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Computational Intelligence for Connective Cognition Networks: Advances, and Applications
Aggarwal, Kirti (Editor)/ Arora, Anuja (Editor)/ Akhter, Zahid (Editor)/ Bruno, Alessandro (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condition: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Hardcover
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Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condition: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 144.49
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.