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

Artificial Neural Networks and Machine Learning - ICANN 2025

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…

Rubén Ballester, Carles Casacuberta, Sergio Escalera

Topological Data Analysis for Neural Networks

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…

Artificial Neural Networks and Machine Learning - ICANN 2025

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…

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…

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…

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…

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

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 …

Dissimulator

Lower Form Resistance

Dissimulator aus Kanada (mit Mitgliedern von Chthe'ilist, Atramentus, Beyond Creation, Incandescence) schaffen es mit »Lower Form Resistance« frisch zu klingen und gleichzeitig einen gewissen Geist von 19…

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 …

Ardashir Mohammadzadeh, Chunwei Zhang, Li Sun, Tianpeng Li

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…

Kishore Bingi, Venkata Ramana Kasi, Ramadevi Bhukya

Fractional-Order Activation Functions for Neural Networks

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 …

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…

Advances in Using Stem Cells to Treat Neural Diseases

This book dives into the forefront of stem cell research, uncovering the tremendous potential of stem cell technology for neural regeneration. This comprehensive volume offers valuable insights into diver…

Svetlin Georgiev

Neural Network Methods for Dynamic Equations on Time Scales

This book aims to handle dynamic equations on time scales using artificial neural network (ANN). Basic facts and methods for ANN modeling are considered. The multilayer artificial neural network (ANN) mod…

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…

Patric Stefan Guggisberg

Die 114 Tells der Mardin-Ebene

Hochauflösende Satellitenbilder sind für die landschaftsarchäologische Forschung unverzichtbar. Besonders in schwer zugänglichen Regionen oder Konfliktgebieten bieten sie oft die einzige Möglichkeit, Sied…

Andrea Scarciglia, Claudio Bonanno, Gaetano Valenza

Physiological Noise and Informative Randomness in Neural and Cardiovascular Systems

Introduction and Key Definitions.- Formal Definition of Noise and Noise Estimation Techniques.- Physiological Noise in NeuroCardiovascular Systems.- Results on Syntethic Data.- Results on Real Physiologic…

Pink Fairies

Pink Fairies And Friends Vol.2