Advances in Neural Networks – ISNN 2020 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Neural Networks – ISNN 2020 write by Min Han. This book was released on 2020-11-28. Advances in Neural Networks – ISNN 2020 available in PDF, EPUB and Kindle. 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 2024
Advances in Neural Networks – ISNN 2024 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Neural Networks – ISNN 2024 write by Xinyi Le. This book was released on . Advances in Neural Networks – ISNN 2024 available in PDF, EPUB and Kindle.
Advances in Neural Networks - ISNN 2009
Advances in Neural Networks - ISNN 2009 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Neural Networks - ISNN 2009 write by Wen Yu. This book was released on 2009-05-21. Advances in Neural Networks - ISNN 2009 available in PDF, EPUB and Kindle. 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.
Advances in Neural Networks - ISNN 2007
Advances in Neural Networks - ISNN 2007 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Neural Networks - ISNN 2007 write by Derong Liu. This book was released on 2007-07-14. Advances in Neural Networks - ISNN 2007 available in PDF, EPUB and Kindle. This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.
Advanced AI Methods for Plant Disease and Pest Recognition
Advanced AI Methods for Plant Disease and Pest Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced AI Methods for Plant Disease and Pest Recognition write by Jucheng Yang. This book was released on 2024-06-06. Advanced AI Methods for Plant Disease and Pest Recognition available in PDF, EPUB and Kindle. Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.
