Advances in Neural Networks – ISNN 2024

Advances in Neural Networks – ISNN 2024 PDF Author: Xinyi Le
Publisher: Springer Nature
ISBN: 9819743990
Category :
Languages : en
Pages : 635

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Book Description

Advances in Neural Networks – ISNN 2024

Advances in Neural Networks – ISNN 2024 PDF Author: Xinyi Le
Publisher: Springer Nature
ISBN: 9819743990
Category :
Languages : en
Pages : 635

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Book Description


AI 2024: Advances in Artificial Intelligence

AI 2024: Advances in Artificial Intelligence PDF Author: Mingming Gong
Publisher: Springer Nature
ISBN: 981960348X
Category :
Languages : en
Pages : 426

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Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007 PDF Author: Derong Liu
Publisher: Springer Science & Business Media
ISBN: 3540723927
Category : Computers
Languages : en
Pages : 1345

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Book Description
Annotation The three volume set LNCS 4491/4492/4493 constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1.975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.

Advances in Neural Networks - ISNN 2005

Advances in Neural Networks - ISNN 2005 PDF Author: Jun Wang
Publisher: Springer
ISBN: 3540320652
Category : Computers
Languages : en
Pages : 1101

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Book Description
The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

Advances in Neural Networks – ISNN 2020

Advances in Neural Networks – ISNN 2020 PDF Author: Min Han
Publisher: Springer Nature
ISBN: 3030642216
Category : Computers
Languages : en
Pages : 289

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Book Description
This volume LNCS 12557 constitutes the refereed proceedings of the 17th International Symposium on Neural Networks, ISNN 2020, held in Cairo, Egypt, in December 2020. The 24 papers presented in the two volumes were carefully reviewed and selected from 39 submissions. The papers were organized in topical sections named: optimization algorithms; neurodynamics, complex systems, and chaos; supervised/unsupervised/reinforcement learning/deep learning; models, methods and algorithms; and signal, image and video processing.

Advances in Neural Networks – ISNN 2019

Advances in Neural Networks – ISNN 2019 PDF Author: Huchuan Lu
Publisher: Springer
ISBN: 3030227960
Category : Computers
Languages : en
Pages : 499

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Book Description
This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

Advances in Neural Networks- ISNN 2013

Advances in Neural Networks- ISNN 2013 PDF Author: Chengan Guo
Publisher: Springer
ISBN: 364239065X
Category : Computers
Languages : en
Pages : 710

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Book Description
The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.

Advances in Neural Networks - ISNN 2009

Advances in Neural Networks - ISNN 2009 PDF Author: Wen Yu
Publisher: Springer
ISBN: 3642015131
Category : Computers
Languages : en
Pages : 1278

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Book Description
This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.

Formal Methods for Industrial Critical Systems

Formal Methods for Industrial Critical Systems PDF Author: Anne E. Haxthausen
Publisher: Springer Nature
ISBN: 3031681509
Category :
Languages : en
Pages : 267

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Book Description


Advances in Neural Networks – ISNN 2024

Advances in Neural Networks – ISNN 2024 PDF Author: Xinyi Le
Publisher: Springer
ISBN: 9789819743988
Category : Computers
Languages : en
Pages : 0

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Book Description
This volume constitutes the refereed proceedings of the 18th International Symposium on Neural Networks, ISNN 2024, held in Weihai, China, during 11-14, July 2024. The 59 full papers were carefully reviewed and selected from 82 submission. They are categorized in the following sections: Optimization Algorithms; Adversarial Learning, Transfer Learning, and Deep Learning; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Fault Diagnosis and Intelligent Industry & Bio-signal, Bioinformatics, and Biomedical Engineering.