Implementation of FPGA-Based Artificial Neural Network Combined with Genetic Algorithm

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (853 download)

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Book Synopsis Implementation of FPGA-Based Artificial Neural Network Combined with Genetic Algorithm by :

Download or read book Implementation of FPGA-Based Artificial Neural Network Combined with Genetic Algorithm written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

FPGA Implementations of Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 0387284877
Total Pages : 365 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis FPGA Implementations of Neural Networks by : Amos R. Omondi

Download or read book FPGA Implementations of Neural Networks written by Amos R. Omondi and published by Springer Science & Business Media. This book was released on 2006-10-04 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.

Implementation of an FPGA-based Artificial Neural Network

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Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Implementation of an FPGA-based Artificial Neural Network by : Luya Gao

Download or read book Implementation of an FPGA-based Artificial Neural Network written by Luya Gao and published by . This book was released on 2019 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Eighth International Work-Conference on Artificial and Natural Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3540262083
Total Pages : 1282 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Eighth International Work-Conference on Artificial and Natural Neural Networks by : Joan Cabestany

Download or read book Eighth International Work-Conference on Artificial and Natural Neural Networks written by Joan Cabestany and published by Springer Science & Business Media. This book was released on 2005-05-30 with total page 1282 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, ... ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” The call for papers was launched several months ago, addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.

Engineering Applications of Bio-Inspired Artificial Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540660682
Total Pages : 942 pages
Book Rating : 4.6/5 (66 download)

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Book Synopsis Engineering Applications of Bio-Inspired Artificial Neural Networks by : Jose Mira

Download or read book Engineering Applications of Bio-Inspired Artificial Neural Networks written by Jose Mira and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

DNA Computing Based Genetic Algorithm

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Publisher : Springer
ISBN 13 : 9789811554025
Total Pages : 274 pages
Book Rating : 4.5/5 (54 download)

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Book Synopsis DNA Computing Based Genetic Algorithm by : Jili Tao

Download or read book DNA Computing Based Genetic Algorithm written by Jili Tao and published by Springer. This book was released on 2020-09-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.

ספר שערי רחמים

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (741 download)

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Book Synopsis ספר שערי רחמים by :

Download or read book ספר שערי רחמים written by and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Nets. Problem Solving Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 354040211X
Total Pages : 845 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Artificial Neural Nets. Problem Solving Methods by : José Mira

Download or read book Artificial Neural Nets. Problem Solving Methods written by José Mira and published by Springer Science & Business Media. This book was released on 2003-05-22 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.

Genetic Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 9781852330729
Total Pages : 364 pages
Book Rating : 4.3/5 (37 download)

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Book Synopsis Genetic Algorithms by : Kim-Fung Man

Download or read book Genetic Algorithms written by Kim-Fung Man and published by Springer Science & Business Media. This book was released on 2001-02-19 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.

Hardware Implementation of Intelligent Systems

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Publisher : Physica
ISBN 13 : 379081816X
Total Pages : 287 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Hardware Implementation of Intelligent Systems by : Horia-Nicolai Teodorescu

Download or read book Hardware Implementation of Intelligent Systems written by Horia-Nicolai Teodorescu and published by Physica. This book was released on 2013-11-11 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are now being used more commonly than in the past. These involve cognitive, evolving and artificial-life, robotic, and decision making systems, to name a few. Due to the tremendous speed of development, on both fundamental and technological levels, it is virtually impossible to offer an up-to-date, yet comprehensive overview of this field. Nevertheless, the need for a volume presenting recent developments and trends in this domain is huge, and the demand for such a volume is continually increasing in industrial and academic engineering 1 communities. Although there are a few volumes devoted to similar issues , none offer a comprehensive coverage of the field; moreover they risk rapidly becoming obsolete. The editors of this volume cannot pretend to fill such a large gap. However, it is the editors' intention to fill a significant part of this gap. A comprehensive coverage of the field should include topics such as neural networks, fuzzy systems, neuro-fuzzy systems, genetic algorithms, evolvable hardware, cellular automata-based systems, and various types of artificial life-system implementations, including autonomous robots. In this volume, we have focused on the first five topics listed above. The volume is composed of four parts, each part being divided into chapters, with the exception of part 4. In Part 1, the topics of "Evolvable Hardware and GAs" are addressed. In Chapter 1, "Automated Design Synthesis and Partitioning for Adaptive Reconfigurable Hardware", Ranga Vemuri and co-authors present state-of-the-art adaptive architectures, their classification, and their applications.

Artificial Neural Nets and Genetic Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3709162300
Total Pages : 518 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Artificial Neural Nets and Genetic Algorithms by : Vera Kurkova

Download or read book Artificial Neural Nets and Genetic Algorithms written by Vera Kurkova and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.

Computational and Ambient Intelligence

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Publisher : Springer
ISBN 13 : 3540730079
Total Pages : 1192 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational and Ambient Intelligence by : Francisco Sandoval

Download or read book Computational and Ambient Intelligence written by Francisco Sandoval and published by Springer. This book was released on 2007-09-21 with total page 1192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.

A Simple FPGA-based Architecture Design of Reconfigurable Neural Network

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Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (878 download)

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Book Synopsis A Simple FPGA-based Architecture Design of Reconfigurable Neural Network by : Jaber Salem

Download or read book A Simple FPGA-based Architecture Design of Reconfigurable Neural Network written by Jaber Salem and published by . This book was released on 2013 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: In contrast with analog design, digital design and implementation of any logic circuit suffer much from the difficulty in terms of economy and implementation. Neural networks are artificial systems inspired by the brain's cognitive behavior, which can learn tasks with some degree of complexity, such as, optimization problems, text and speech recognition. Since the topology of neural networks is highly crucial to the performance, the reconfigurable ability of the neural network hardware is very essential. Reconfigurability factually means several different designs can be implemented on a single architecture. Therefore, this work proposes an efficient architecture to implement the reconfigurable back propagation and Hopfield neural networks. We specifically adopted the reconfigurable artificial neural networks approach to show how it is possible to build an efficient chip. Simple neural network models with an appropriate training were used to behave as traditional logic functions in the bit- level. In order to further reduce the hardware, memories-sharing method has been adopted. Also, a comparison between the proposed and traditional networks shows that the proposed network has significantly reduced the time delay and power consumption. Xilinx - ISE is used to synthesize our design. VHDL code is used to build the architecture. The architecture code is then downloaded to FPGAs (Field Programmable Gate Array) to implement the design. FPGAs are strong tools to implement ANNs as one can exploit concurrency and rapidly reconfigure to adapt the weights and topologies of an ANN. Also, XPower, as one of the best tools in Xilinx, was used to measure the total required power by our architecture. Finally, the results showed that the proposed reconfigurable architecture leads to a considerable decrease in the consumed power to almost 43% as well as the total time delay. Also, the architecture can easily be scalable as a future work and is able to cope with several network sizes with the same hardware.

Neuromorphic Computing Principles and Organization

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Publisher : Springer Nature
ISBN 13 : 3030925250
Total Pages : 260 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Neuromorphic Computing Principles and Organization by : Abderazek Ben Abdallah

Download or read book Neuromorphic Computing Principles and Organization written by Abderazek Ben Abdallah and published by Springer Nature. This book was released on 2022-05-31 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that need to be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuromorphic computing are then given. A particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain’s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well. Neuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.

Biological and Artificial Intelligence Environments

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Publisher : Springer Science & Business Media
ISBN 13 : 1402034326
Total Pages : 389 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Biological and Artificial Intelligence Environments by : Bruno Apolloni

Download or read book Biological and Artificial Intelligence Environments written by Bruno Apolloni and published by Springer Science & Business Media. This book was released on 2007-11-04 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports the proceedings of the 15th Italian workshop on neural networks issued by the Italian Society on Neural Networks SIREN. The longevity recipe of this conference stands in three main points that normally renders the reading of these proceedings so interesting as appealing. 1. The topics of the neural networks is considered an attraction pole for a set of researches centered on the inherent paradigm of the neural networks, rather than on a specific tool exclusively. Thus, the subsymbolic management of the data information content constitutes the key feature of papers in various fields such as Pattern Recognition, Stochastic Optimization, Learning, Granular Computing, and so on, with a special bias toward bioinformatics operational applications. An excerpt of all these matters may be found in the book. 2. Though managed at domestic level, the conference attracts contributions from foreign researchers as well, so that in the book the reader may capture the flavor of the state of the art in the international community. 3. The conference is a meeting of friends as well. Thus the papers generally reflect a relaxed atmosphere where researchers meet to generously exchange their thought and explain their actual results in view of a common cultural growing of the community.

Developments in Applied Artificial Intelligence

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Publisher : Springer
ISBN 13 : 3540480358
Total Pages : 841 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Developments in Applied Artificial Intelligence by : Tim Hendtlass

Download or read book Developments in Applied Artificial Intelligence written by Tim Hendtlass and published by Springer. This book was released on 2003-08-02 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arti?cial Intelligence is a ?eld with a long history, which is still very much active and developing today. Developments of new and improved techniques, together with the ever-increasing levels of available computing resources, are fueling an increasing spread of AI applications. These applications, as well as providing the economic rationale for the research, also provide the impetus to further improve the performance of our techniques. This further improvement today is most likely to come from an understanding of the ways our systems work, and therefore of their limitations, rather than from ideas ‘borrowed’ from biology. From this understanding comes improvement; from improvement comes further application; from further application comes the opportunity to further understand the limitations, and so the cycle repeats itself inde?nitely. In this volume are papers on a wide range of topics; some describe appli- tions that are only possible as a result of recent developments, others describe new developments only just being moved into practical application. All the - pers re?ect the way this ?eld continues to drive forward. This conference is the 15th in an unbroken series of annual conferences on Industrial and Engineering Application of Arti?cial Intelligence and Expert Systems organized under the auspices of the International Society of Applied Intelligence.

Evolvable Hardware

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Publisher : Springer
ISBN 13 : 3662446162
Total Pages : 432 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Evolvable Hardware by : Martin A. Trefzer

Download or read book Evolvable Hardware written by Martin A. Trefzer and published by Springer. This book was released on 2015-09-14 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most of the examples are from electronic engineering applications, including transistor-level design and system-level implementation. The authors present an overview of the successes achieved, and the book will act as a point of reference for both academic and industrial researchers.