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Author : Viswanath Ramamurti
Publisher :
ISBN 13 :
Total Pages : 210 pages
Book Rating : 4.:/5 (412 download)
Download or read book Structural adaptation and generalization in modular neural networks written by Viswanath Ramamurti and published by . This book was released on 1997 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leonardo Franco
Publisher : Springer Science & Business Media
ISBN 13 : 3642045111
Total Pages : 296 pages
Book Rating : 4.6/5 (42 download)
Download or read book Constructive Neural Networks written by Leonardo Franco and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to the standard method of finding a correct neural architecture by trial-and-error. These algorithms provide an incremental way of building neural networks with reduced topologies for classification problems. Furthermore, these techniques produce not only the multilayer topologies but the value of the connecting synaptic weights that are determined automatically by the constructing algorithm, avoiding the risk of becoming trapped in local minima as might occur when using gradient descent algorithms such as the popular back-propagation. In most cases the convergence of the constructing algorithms is guaranteed by the method used. Constructive methods for building neural networks can potentially create more compact and robust models which are easily implemented in hardware and used for embedded systems. Thus a growing amount of current research in neural networks is oriented towards this important topic. The purpose of this book is to gather together some of the leading investigators and research groups in this growing area, and to provide an overview of the most recent advances in the techniques being developed for constructive neural networks and their applications.
Author : Amanda J.C. Sharkey
Publisher : Springer Science & Business Media
ISBN 13 : 1447107934
Total Pages : 300 pages
Book Rating : 4.4/5 (471 download)
Download or read book Combining Artificial Neural Nets written by Amanda J.C. Sharkey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems. The techniques are also accompanied by an evaluation of their relative effectiveness and their application to a variety of problems.
Author : Patricia Melin
Publisher : Springer
ISBN 13 : 331947054X
Total Pages : 817 pages
Book Rating : 4.3/5 (194 download)
Download or read book Nature-Inspired Design of Hybrid Intelligent Systems written by Patricia Melin and published by Springer. This book was released on 2016-12-08 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.
Author : Zhenguo Gu
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (957 download)
Download or read book An Approach to Structural Adaptation of Neural Networks for Logic Functions written by Zhenguo Gu and published by . This book was released on with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : I. Aleksander
Publisher : Elsevier
ISBN 13 : 148329806X
Total Pages : 879 pages
Book Rating : 4.4/5 (832 download)
Download or read book Artificial Neural Networks, 2 written by I. Aleksander and published by Elsevier. This book was released on 2014-06-28 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.
Author : Shiqi Yu
Publisher : Springer Nature
ISBN 13 : 3031189132
Total Pages : 789 pages
Book Rating : 4.0/5 (311 download)
Download or read book Pattern Recognition and Computer Vision written by Shiqi Yu and published by Springer Nature. This book was released on 2022-10-27 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Author : Tsu-Chang Lee
Publisher :
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.:/5 (386 download)
Download or read book Structure Level Adaptation for Artificial Neural Networks written by Tsu-Chang Lee and published by . This book was released on 1990 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : I. M. Mujtaba
Publisher : World Scientific
ISBN 13 : 1848161468
Total Pages : 423 pages
Book Rating : 4.8/5 (481 download)
Download or read book Application of Neural Networks and Other Learning Technologies in Process Engineering written by I. M. Mujtaba and published by World Scientific. This book was released on 2001-01-01 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a follow-up to the IChemE symposium on OC Neural Networks and Other Learning TechnologiesOCO, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems OCo modelling, estimation, control, optimisation and industrial applications. Contents: Modelling and Identification; Hybrid Schemes; Estimations and Control; New Learning Technologies; Experimental and Industrial Applications. Readership: Academic and industrial researchers, chemical engineers and control engineers."
Author : Tuan Quang Dinh (Ph.D.)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)
Download or read book Towards Modular Neural Networks with Pre-trained Models written by Tuan Quang Dinh (Ph.D.) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilizing pre-trained models for knowledge transfer, or adaptation, has gained widespread adoption in deep learning tasks, owing to its superior efficiency and effectiveness compared to traditional training from scratch. As model sizes continue to expand, freezing pre-trained models has emerged as a viable practice for knowledge transfer, improving data and storage efficiency while mitigating the long-standing issue of catastrophic forgetting. This thesis investigates the potential for solving novel machine learning tasks by assembling frozen pre-trained models into a modular neural network. We employ proficient pre-trained models as building blocks of the modular network, examining various assembly strategies to optimize task performance while preserving inherent efficiency. Our findings demonstrate that this framework can deliver highly effective and efficient solutions across diverse learning contexts. In the sub-task adaptation setting, we propose a method called InRep+, designed to reprogram frozen unconditional generators for conditional generation. This approach achieves high-performance generation while exhibiting robustness against imbalanced and noisy supervision. For cross-modal adaptation, our language-interfaced adaptation procedure enables large pre-trained language models to excel in non-language tasks without any architectural modifications. Moreover, we show that frozen language-image pre-trained models can be effectively and efficiently used for composing visual and topological word similarities, creating a robust unsupervised word translation system. Lastly, we propose modular ensemble methods to augment pre-trained code language models in correcting potentially buggy code, an area where single models fail dramatically. This thesis stands as a pioneering contribution to the comprehension and development of methodologies for constructing modular deep neural network systems utilizing pre-trained models.
Author : Jozefczyk, Jerzy
Publisher : IGI Global
ISBN 13 : 1616928131
Total Pages : 506 pages
Book Rating : 4.6/5 (169 download)
Download or read book Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches written by Jozefczyk, Jerzy and published by IGI Global. This book was released on 2010-08-31 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches presents selected new AI–based ideas and methods for analysis and decision making in intelligent information systems derived using systemic and cybernetic approaches. This book is useful for researchers, practitioners and students interested intelligent information retrieval and processing, machine learning and adaptation, knowledge discovery, applications of fuzzy based methods and neural networks.
Author : Kenji Suzuki
Publisher : BoD – Books on Demand
ISBN 13 : 9533072431
Total Pages : 378 pages
Book Rating : 4.5/5 (33 download)
Download or read book Artificial Neural Networks written by Kenji Suzuki and published by BoD – Books on Demand. This book was released on 2011-04-11 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.
Author : Tuan Quang Dinh (Ph.D.)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)
Download or read book Towards Modular Neural Networks with Pre-trained Models written by Tuan Quang Dinh (Ph.D.) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilizing pre-trained models for knowledge transfer, or adaptation, has gained widespread adoption in deep learning tasks, owing to its superior efficiency and effectiveness compared to traditional training from scratch. As model sizes continue to expand, freezing pre-trained models has emerged as a viable practice for knowledge transfer, improving data and storage efficiency while mitigating the long-standing issue of catastrophic forgetting. This thesis investigates the potential for solving novel machine learning tasks by assembling frozen pre-trained models into a modular neural network. We employ proficient pre-trained models as building blocks of the modular network, examining various assembly strategies to optimize task performance while preserving inherent efficiency. Our findings demonstrate that this framework can deliver highly effective and efficient solutions across diverse learning contexts. In the sub-task adaptation setting, we propose a method called InRep+, designed to reprogram frozen unconditional generators for conditional generation. This approach achieves high-performance generation while exhibiting robustness against imbalanced and noisy supervision. For cross-modal adaptation, our language-interfaced adaptation procedure enables large pre-trained language models to excel in non-language tasks without any architectural modifications. Moreover, we show that frozen language-image pre-trained models can be effectively and efficiently used for composing visual and topological word similarities, creating a robust unsupervised word translation system. Lastly, we propose modular ensemble methods to augment pre-trained code language models in correcting potentially buggy code, an area where single models fail dramatically. This thesis stands as a pioneering contribution to the comprehension and development of methodologies for constructing modular deep neural network systems utilizing pre-trained models.
Author : Peter Sincak
Publisher : IOS Press
ISBN 13 : 9781586032562
Total Pages : 362 pages
Book Rating : 4.0/5 (325 download)
Download or read book Intelligent Technologies--theory and Applications written by Peter Sincak and published by IOS Press. This book was released on 2002 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Intelligent Technologies including neural network, evolutionary computations, fuzzy approach and mainly hybrid approaches are very promising tools to build intelligent technologies in general. The progress of each theory or application is provided by a number of various theoretical as well as applicational experiments. Machine intelligence is the only alternative how to increase the level of technology to make technology more human-centred and more effective for society. This book includes theoretical as well as applicational papers in the field of neural networks, fuzzy systems and mainly evolutionary computations which application potential was increased by enormous progress in computer power. Hybrid technologies are still progressing and are trying to make some more applications with their ability to learn and process fuzzy information. Neurogenetic systems are very interesting approach to make systems re-configurable and on-line systems for real-world applications. The book is presenting papers from Japan, USA, Hungary, Poland, Germany, Finland, France, Slovakia, United Kingdom, Czech Republic and some other countries. This publication provides the latest state of the art in the field and could be contributed to theory and applications in the machine intelligence tools and their wide application potential in current and future technologies within the Information Society.
Author :
Publisher :
ISBN 13 :
Total Pages : 820 pages
Book Rating : 4.3/5 (91 download)
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2004 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gianluca Baldassarre
Publisher : Springer Science & Business Media
ISBN 13 : 3642398758
Total Pages : 358 pages
Book Rating : 4.6/5 (423 download)
Download or read book Computational and Robotic Models of the Hierarchical Organization of Behavior written by Gianluca Baldassarre and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current robots and other artificial systems are typically able to accomplish only one single task. Overcoming this limitation requires the development of control architectures and learning algorithms that can support the acquisition and deployment of several different skills, which in turn seems to require a modular and hierarchical organization. In this way, different modules can acquire different skills without catastrophic interference, and higher-level components of the system can solve complex tasks by exploiting the skills encapsulated in the lower-level modules. While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain. They might even lead to the cumulative acquisition of an ever-increasing number of skills, which seems to be a characteristic of mammals, and humans in particular. This book is a comprehensive overview of the state of the art on the modeling of the hierarchical organization of behavior in animals, and on its exploitation in robot controllers. The book perspective is highly interdisciplinary, featuring models belonging to all relevant areas, including machine learning, robotics, neural networks, and computational modeling in psychology and neuroscience. The book chapters review the authors' most recent contributions to the investigation of hierarchical behavior, and highlight the open questions and most promising research directions. As the contributing authors are among the pioneers carrying out fundamental work on this topic, the book covers the most important and topical issues in the field from a computationally informed, theoretically oriented perspective. The book will be of benefit to academic and industrial researchers and graduate students in related disciplines.
Author : Stefanos Kollias
Publisher : Springer Science & Business Media
ISBN 13 : 3540386254
Total Pages : 1041 pages
Book Rating : 4.5/5 (43 download)
Download or read book Artificial Neural Networks - ICANN 2006 written by Stefanos Kollias and published by Springer Science & Business Media. This book was released on 2006 with total page 1041 pages. Available in PDF, EPUB and Kindle. Book excerpt:
