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

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 2026

Lecture Notes in Computer Science - Band 17092

The five-volume set LNCS 17089-17093 constitutes the proceedings of the 35th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2026, held in Padua, Italy on September 14--…

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Artificial Neural Networks and Machine Learning - ICANN 2026

Lecture Notes in Computer Science - Band 17090

The five-volume set LNCS 17089-17093 constitutes the proceedings of the 35th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2026, held in Padua, Italy on September 14-1…

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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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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 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 …

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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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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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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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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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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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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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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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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

Neural Networks: Overview of Current Theories and Applications

The book presents current modelling and simulations of neural networks algorithms, associated challenges and practical revenue associated with their applications. The reported models, algorithms and appli…

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Jun Wang, Hong Peng
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…

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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…

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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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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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