Neural-SymbolicAI – alle Bücher, CDs und LPs, Seite 2

Quantum-Inspired Neural Networks

The rapid development in AI and quantum computing has resulted in a new domain termed Quantum-Inspired Neural Networks (QINNs). These models utilize ideas from quantum mechanics, including superposition, …

lieferbar in mind. 4 Wochen

Buch

Fractional Discrete Neural Networks

Studies in Systems, Decision and Control

This book offers a comprehensive guide to Fractional Discrete Neural Networks, delving into their mathematical foundations, stability, solvability, and chaotic dynamics. By combining rigorous analytical a…

lieferbar ab 2.10.2026.

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Convolutional Neural Network Accelerators

This book provides comprehensive coverage of the state-of-the-art in Convolutional Neural Network (CNN) hardware accelerator design, security, and its applications in hardware security. The first part giv…

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Deep Quantum Neural Networks:

Signals and Communication Technology

This book looks at how quantum computing, neural networks, and next-generation communication systems can work together in new and exciting ways. The book presents details about cutting edge techniques, su…

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Ryoma Sato
Accelerating Deep Neural Networks

Deep learning models are powerful, but are often large, slow, and expensive to run. This book is a practical guide to accelerating and compressing neural networks using proven techniques such as quantizat…

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Joachim Steinwendner, Roland Schwaiger
Programming Neural Networks with Python

Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and cr…

sofort lieferbar

Buch

Hong Peng, Jun Wang
Advanced Spiking Neural P Systems

Computational Intelligence Methods and Applications

Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary f…

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Engineering Applications of Neural Networks

Communications in Computer and Information Science - Band 3024

The two-volume set CCIS 3024 + 3025 constitutes the refereed proceedings of the 27th International Conference on Engineering Applications of Neural Networks, EANN 2026, held in Chania, Crete, Greece, duri…

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Advances in Neural Data Science

Springer Proceedings in Mathematics & Statistics - Band 475

This proceeding volume will contain a collection of peer-reviewed articles arising from the Data Research Camp 2022. The workshop took place on July 12-15, 2022, at the Venice International University, in…

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Anwaar Ulhaq
The Neural Evolution of AI

SpringerBriefs in Computer Science

The author tells the untold story behind artificial intelligence. From early discoveries about how neurons communicate to today's powerful neural networks, deep learning and generative AI systems, this bo…

lieferbar in mind. 4 Wochen

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Engineering Applications of Neural Networks

Communications in Computer and Information Science - Band 3025

The two-volume set CCIS 3024 + 3025 constitutes the refereed proceedings of the 27th International Conference on Engineering Applications of Neural Networks, EANN 2026, held in Chania, Crete, Greece, duri…

lieferbar innerhalb 2-3 Wochen

Buch

Neural Computing for Advanced Applications

This two-volume set CCIS 2664 and 2665 constitutes the refereed proceedings of the 6th International Conference on Neural Computing for Advanced Applications, NCAA 2025, held in Hong Kong, China, during J…

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Recent Advances in Artificial Neural Networks

Intelligent Systems Reference Library - Band 283

This book compiles research on the practical implementation of deep learning models and hybrid intelligent systems to tackle diverse and impactful challenges. Artificial Neural Networks (ANNs) and deep le…

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Artificial Neural Networks and Machine Learning - ICANN 2025

Lecture Notes in Computer Science - Band 16070

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

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Artificial Neural Networks and Machine Learning - ICANN 2025

Lecture Notes in Computer Science - Band 16068

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Artificial Neural Networks and Machine Learning - ICANN 2025

Lecture Notes in Computer Science - Band 16071

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Neural Computing for Advanced Applications

This two-volume set CCIS 2664 and 2665 constitutes the refereed proceedings of the 6th International Conference on Neural Computing for Advanced Applications, NCAA 2025, held in Hong Kong, China, during J…

lieferbar innerhalb 2-3 Wochen

Buch

Denys Kataiev, Janusz Kacprzyk, Artur Zaporozhets
Neural Calibration of Coordinate Measuring Arms

Studies in Systems, Decision and Control - Band 695

This book presents a groundbreaking fusion of classical metrological modelling and modern artificial intelligence to dramatically enhance the accuracy of geometric measurements in industrial environments.…

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Artificial Neural Networks and Machine Learning - ICANN 2025

Lecture Notes in Computer Science - Band 16069

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Rubén Ballester, Carles Casacuberta, Sergio Escalera
Topological Data Analysis for Neural Networks

SpringerBriefs in Computer Science

This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homolog…

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