Discrete Neural Computation Basics
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Discrete Neural Computation Basics
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-26
Discrete Neural Computation Basics written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Technology & Engineering categories.
Discrete neural computation is a rapidly growing field that has the potential to revolutionize many aspects of our lives. Discrete neural networks are a type of artificial neural network that uses discrete-valued inputs and outputs instead of continuous-valued inputs and outputs. This makes them particularly well-suited for applications in areas such as computer vision, natural language processing, and robotics. In this book, we provide a comprehensive introduction to the foundations of discrete neural computation. We cover everything from the basic principles of discrete neural network learning to the latest advances in discrete neural network optimization. We also explore a variety of applications of discrete neural networks, including image classification, object detection, speech recognition, and robot control. The book is divided into five chapters. The first chapter provides an introduction to discrete neural computation. We discuss the history of discrete neural computation, the different types of discrete neural networks, and the applications of discrete neural networks. The second chapter covers the basic principles of discrete neural network learning. We discuss the different types of learning algorithms that are used to train discrete neural networks, and we explore the challenges that are associated with training discrete neural networks. The third chapter covers the different types of optimization techniques that are used to improve the performance of discrete neural networks. We discuss the different types of optimization algorithms that are used to train discrete neural networks, and we explore the challenges that are associated with optimizing discrete neural networks. The fourth chapter covers a variety of applications of discrete neural networks. We discuss the use of discrete neural networks for image classification, object detection, speech recognition, and robot control. We also explore the challenges that are associated with using discrete neural networks for these applications. The fifth chapter provides a summary of the key points that were covered in the book. We also discuss the future directions of research in discrete neural computation. This book is intended for readers with a basic understanding of artificial neural networks. It is also intended for readers who are interested in learning more about the foundations of discrete neural computation. We hope that this book will provide readers with a comprehensive understanding of the foundations of discrete neural computation. We also hope that this book will inspire readers to explore the many potential applications of discrete neural networks. If you like this book, write a review on google books!
Discrete Neural Computation
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Author : Kai-Yeung Siu
language : en
Publisher: Prentice Hall
Release Date : 1995
Discrete Neural Computation written by Kai-Yeung Siu and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Written by the three leading authorities in the field, this book brings together -- in one volume -- the recent developments in discrete neural computation, with a focus on neural networks with discrete inputs and outputs. It integrates a variety of important ideas and analytical techniques, and establishes a theoretical foundation for discrete neural computation. Discusses the basic models for discrete neural computation and the fundamental concepts in computational complexity; establishes efficient designs of threshold circuits for computing various functions; develops techniques for analyzing the computational power of neural models. A reference/text for computer scientists and researchers involved with neural computation and related disciplines.
Handbook Of Neural Computation
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Author : E Fiesler
language : en
Publisher: CRC Press
Release Date : 2020-01-15
Handbook Of Neural Computation written by E Fiesler and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl
Aspects And Prospects Of Theoretical Computer Science
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Author : Jürgen Dassow
language : en
Publisher: Springer Science & Business Media
Release Date : 1990-11-07
Aspects And Prospects Of Theoretical Computer Science written by Jürgen Dassow and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-11-07 with Computers categories.
This volume contains the texts of the tutorial lecture, five invited lectures and twenty short communications contributed for presentation at the Sixth International Meeting of Young Computer Scientists, IMYCS '90. The aim of these meetings is threefold: (1) to inform on newest trends, results, and problems in theoretical computer science and related fields through a tutorial and invited lectures delivered by internationally distinguished speakers, (2) to provide a possibility for beginners in scientific work to present and discuss their results, and (3) to create an adequate opportunity for establishing first professional relations among the participants.
Discrete Mathematics Of Neural Networks
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Author : Martin Anthony
language : en
Publisher: SIAM
Release Date : 2001-01-01
Discrete Mathematics Of Neural Networks written by Martin Anthony and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-01 with Computers categories.
This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial neural networks. Neural networks have emerged as a key technology in many fields of application, and an understanding of the theories concerning what such systems can and cannot do is essential. Some classical results are presented with accessible proofs, together with some more recent perspectives, such as those obtained by considering decision lists. In addition, probabilistic models of neural network learning are discussed. Graph theory, some partially ordered set theory, computational complexity, and discrete probability are among the mathematical topics involved. Pointers to further reading and an extensive bibliography make this book a good starting point for research in discrete mathematics and neural networks.
Quantum Neural Computation
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Author : Vladimir G. Ivancevic
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-18
Quantum Neural Computation written by Vladimir G. Ivancevic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-18 with Computers categories.
Quantum Neural Computation is a graduate–level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation, the science behind the fiction movie Stealth. Classical computing systems perform classical computations (i.e., Boolean operations, such as AND, OR, NOT gates) using devices that can be described classically (e.g., MOSFETs). On the other hand, quantum computing systems perform classical computations using quantum devices (quantum dots), that is devices that can be described only using quantum mechanics. Any information transfer between such computing systems involves a state measurement. This book describes this information transfer at the edge of classical and quantum chaos and turbulence, where mysterious quantum-mechanical linearity meets even more mysterious brain’s nonlinear complexity, in order to perform a super–high–speed and error–free computations. This monograph describes a crossroad between quantum field theory, brain science and computational intelligence.
Limitations And Future Trends In Neural Computation
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Author :
language : en
Publisher: IOS Press
Release Date : 2003
Limitations And Future Trends In Neural Computation written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Neural computers categories.
Physical Computation And Cognitive Science
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Author : Nir Fresco
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-12
Physical Computation And Cognitive Science written by Nir Fresco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-12 with Technology & Engineering categories.
This book presents a study of digital computation in contemporary cognitive science. Digital computation is a highly ambiguous concept, as there is no common core definition for it in cognitive science. Since this concept plays a central role in cognitive theory, an adequate cognitive explanation requires an explicit account of digital computation. More specifically, it requires an account of how digital computation is implemented in physical systems. The main challenge is to deliver an account encompassing the multiple types of existing models of computation without ending up in pancomputationalism, that is, the view that every physical system is a digital computing system. This book shows that only two accounts, among the ones examined by the author, are adequate for explaining physical computation. One of them is the instructional information processing account, which is developed here for the first time. "This book provides a thorough and timely analysis of differing accounts of computation while advancing the important role that information plays in understanding computation. Fresco’s two-pronged approach will appeal to philosophically inclined computer scientists who want to better understand common theoretical claims in cognitive science.” Marty J. Wolf, Professor of Computer Science, Bemidji State University “An original and admirably clear discussion of central issues in the foundations of contemporary cognitive science.” Frances Egan, Professor of Philosophy, Rutgers, The State University of New Jersey
The Oxford Handbook Of Affective Computing
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Author : Rafael A. Calvo
language : en
Publisher:
Release Date : 2015
The Oxford Handbook Of Affective Computing written by Rafael A. Calvo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computers categories.
The Oxford Handbook of Affective Computing is the definitive reference for research in Affective Computing (AC), a growing multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and many other disciplines. The handbook explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems that intricately involve affect at their core. Suitable for use as a textbook in undergraduate or graduate courses in AC, the volume is a valuable resource for students, researchers, and practitioners worldwide.
Neural Computation In Embodied Closed Loop Systems For The Generation Of Complex Behavior From Biology To Technology
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Author : Poramate Manoonpong
language : en
Publisher: Frontiers Media SA
Release Date : 2018-10-11
Neural Computation In Embodied Closed Loop Systems For The Generation Of Complex Behavior From Biology To Technology written by Poramate Manoonpong and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-11 with categories.
How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.