Neural-SymbolicAI – alle Bücher, CDs und LPs, Seite 3

George A. Anastassiou
AI Mathematics: Advanced Neural Network Approximation

This book presents the new idea of going from the neural networks main tools, the activation functions, to convolution integrals and singular integrals approximations. That is the rare case of employing a…

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Neural Networks: Theory, Algorithms, Simulation, and Applications

This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing. This edited book brings together leading researchers and practitioners to present b…

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Graph Neural Networks for Neurological Disorders

This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book ad…

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Graph Convolutional Neural Networks for Computer Vision

Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs.In …

lieferbar in mind. 4 Wochen

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Long Jin, Lin Wei, Xin Lv
Neural Dynamics for Time-varying Problems

This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experime…

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Cognitive and Neural Foundations of Chinese Reading

Chinese Language Learning Sciences

This book provides a comprehensive and concise introduction of experiments on contemporary issues of language processing and the brain. It covers a wide range of neurolinguistic and neuroscience topics, i…

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Graph Neural Networks: Essentials and Use Cases

This book explains the technologies and tools that underpin GNNs, offering a clear and practical guide to their industrial applications and use cases. AI engineers, data scientists, and researchers in AI …

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Advanced Neural Artificial Intelligence: Theories and Applications

This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WI…

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Xin Wang, Yu Xue, Xian Zhang, Yantao Wang
Analysis and Design of Delayed Neural Networks

Intelligent Control and Learning Systems - Band 19

This book provides a direct method based on system solutions to address the problems related to the analysis and control of delayed neural networks. The method proposed in this book is important for the f…

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Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun
Practical Neural Networks in Python and MATLAB

A Comprehensive Guide to Theory and Implementation.Bridging the gap between theory and practice with this extensive guide to neural networks, featuring parallel implementations in both Python and MATLAB.N…

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Kishore Bingi, Ramadevi Bhukya, Venkata Ramana Kasi
Fractional-Order Activation Functions for Neural Networks

Studies in Systems, Decision and Control - Band 588

This book suggests the development of single and multi-layer fractional-order neural networks that incorporate fractional-order activation functions derived using fractional-order derivatives. Activation …

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Yiran Chen, Hai Li, Huanrui Yang
Computer Engineering Machine Learning and Neural Networks

This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors d…

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Kevin Ayers

Original Album Series

Beinhaltet die Alben: Joy Of A Toy Shooting At The Moon Whatevershebringswesing Bananamour The Confessions Of Dr Dream And Other Stories

Artikel am Lager

5 CDs

Jun Wang
Spiking Neural P Systems for Time Series Analysis

An up-to-date and accurate discussion of spiking neural P systems in time series analysisIn Spiking Neural P Systems for Time Series Analysis, the authors explore the fundamentals and the current states o…

lieferbar in mind. 4 Wochen

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Federated Learning for Neural Disorders in Healthcare 6.0

This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI d…

lieferbar ab 27.8.2026.

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Tingzhao Fu
Research on Silicon-Based Integrated Diffractive Optical Neural Network

Springer Theses

This book systematically researches crucial scientific issues such as high integration, high computational capacity, and large-scale expansion of computing units in silicon-based integrated diffractive op…

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Mei Liu, Jingkun Yan, Renpeng Huang
Dynamic Neural Networks for Motion Control of Redundant Manipulators

Intelligent Control and Learning Systems - Band 21

This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators. Specifically, it presents a series of advanced …

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Cosmin Radu Popa
Analog Current-Mode Computational Circuits for Artificial Neural Networks

Analog Circuits and Signal Processing

This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realiz…

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Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou
Graph Neural Network Methods and Applications in Scene Understanding

The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of …

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Jose de Jesus Rubio
Stability Analysis of Neural Networks and Evolving Intelligent Systems

This book explores the stability analysis of neural networks and evolving intelligent systems, focusing on their ability to adapt to changing environments. It differentiates between neural networks, which…

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