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…

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…

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 Neural Networks: Essentials and Use Cases

Chapter 1 Applications of Graph Neural Networks in Computer Vision: Transforming Perception Through Structure.- Chapter 2 Large-Scale Learnable Graph Convolutional Networks (LGCNs) Graph Neural Networks (…

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 …

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 …

Hong Peng, 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…

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networ…

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

Chapter 1 Introduction.- Chapter 2 An uniformly stable backpropagation algorithm to train a feedforward neural network.- Chapter 3 Analytic neural network model of a wind turbine.- Chapter 4 Interpolation…

Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions

.- 2nd AI in Drug Discovery (AIDD) Workshop. .- Early-stage Discovery in the Era of Hard-to-Drug Targets and Giga-scale Chemical Spaces. .- Comparative Analysis of Chemical Structure String Representation…

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

Advances in Neural Computation, Machine Learning, and Cognitive Research VIII

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

Ali Kaveh

Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

Advances in Neural Computation, Machine Learning, and Cognitive Research IX

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

Hejia Gao, Wei He, Changyin Sun

Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems

Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysisFully illustrated throughout, Dynamic Modeling…