The major goal of this research is to develop general nonparametric methods for the estimation of entropy and mutual information, giving a unifying point of view for their use in signal processing and neural computation.Показать полностьюThe major goal of this research is to develop general nonparametric methods for the estimation of entropy and mutual information, giving a unifying point of view for their use in signal processing and neural computation. In many real world problems, the information is carried solely by data samples without any other a priori knowledge. The central issue of “learning from examples” is to estimate energy, entropy or mutual information of a variable only from its samples and adapt the system parameters by optimizing a criterion based on the estimation.

Рассматривается применение нейросетевых технологий при построении информационных и управляющих систем в науке, экономике, финансах и искусстве. Исследуются вопросы разработки нейросетей «под задачу», представления исходной и обработки выходной информации.Показать полностьюРассматривается применение нейросетевых технологий при построении информационных и управляющих систем в науке, экономике, финансах и искусстве. Исследуются вопросы разработки нейросетей «под задачу», представления исходной и обработки выходной информации. Предлагаются простые методы обучения в статическом и динамическом режимах. Обсуждаются особенности систем принятия решений, самообучающихся управляющих систем, систем логического вывода, банковского мониторинга, безопасности, защиты информации, политического и социального прогноза, бизнеса развлечений и туризма. Для студентов технических и экономических вузов, аспирантов, инженеров и исследователей в области современных информационных технологий.

Изложена методика синтеза многослойных нейросетей различной структуры: с полными и неполными последовательными связями, перекрестными и обратными связями, функционирующими в режимах обучения, самообучения, обучения с учителями, обладающим конечной квалификацией.Показать полностьюИзложена методика синтеза многослойных нейросетей различной структуры: с полными и неполными последовательными связями, перекрестными и обратными связями, функционирующими в режимах обучения, самообучения, обучения с учителями, обладающим конечной квалификацией. Приведены этапы исследования надежности и диагностики нейронных сетей. Для студентов по направлению подготовки бакалавров и магистров «Прикладные математика и физика», а также для научных работников, аспирантов и студентов, занимающихся разработкой и применением сверхвысокопроизводительной вычислительной техники.

Книга посвящена систематическому изложению теории искусственных нейронных сетей, аппарату нечеткой логики и так называемым гибридным нейронным сетям. Показана связь между моделями трех указанных направлений и их применение к задачам управления и принятия решений.Показать полностьюКнига посвящена систематическому изложению теории искусственных нейронных сетей, аппарату нечеткой логики и так называемым гибридным нейронным сетям. Показана связь между моделями трех указанных направлений и их применение к задачам управления и принятия решений. Рассмотрена пpограммная реализация данных моделей с помощью инструментальных средств математической системы MATLAB 5.2/5.3 — пакетов Neural Networks Toolbox (нейронные сети) и Fuzzy Logic Toolbox (пакет нечеткой логики). Для студентов технических вузов, а также читателей, интересующихся новыми информационными технологиями.

В книге видных японских специалистов изложены особенности построения нечетких систем. Рассмотрены проблемы распознавания звуковых и зрительных образов, построения нечетких компьютеров и нечетких экспертных систем.Показать полностьюВ книге видных японских специалистов изложены особенности построения нечетких систем. Рассмотрены проблемы распознавания звуковых и зрительных образов, построения нечетких компьютеров и нечетких экспертных систем. Особое внимание уделено применению этих систем в управлении промышленными объектами и в бизнесе. Приведено много интересных и новых результатов исследований в области нечетких систем. Для специалистов в области вычислительной техники, теории систем и управления.

В книге американского автора в общедоступной форме излагаются основы построения нейрокомпьютеров. Описаны структура нейронных сетей и различные алгоритмы их настройки. Отдельные главы посвящены вопросам реализации нейронных сетей. Для специалистов в области вычислительной техники, а также студентов соответствующих специальностей вузов.

Монография посвящена новому направлению развития структуры сверхпроизводительных и надежных непозиционных нейрокомпьютеров, функционирующих в системе остаточных классов.Показать полностьюМонография посвящена новому направлению развития структуры сверхпроизводительных и надежных непозиционных нейрокомпьютеров, функционирующих в системе остаточных классов. Основное ее содержание составляют методы и алгоритмы построения непозиционных вычислительных средств, адекватных структуре нейронных алгоритмов. Монография предназначена студентам и магистрам, обучающимся по специальностям «Автоматизированные системы обработки информации и управления», «Прикладная математика и информатика», «Вычислительные машины, комплексы, системы и сети», «Проектирование и технология ЭВС». Материал книги может быть также использован научными работниками, аспирантами, инженерами, занимающимися разработкой и применением сверхвысокопроизводительной и высоконадежной вычислительной техники.

Двумя популярными направлениями Artificial Intelligence являются теория нечетких множеств и теория нейронных сетей. Данный курс является систематизированным вводным курсом в эти два направления. Данная книга — это очередная в многотонной серии " Основы информационных технологий"

The review begins with background on theoretical computer science, Turing machines and Boolean circuits. In light of these models, I define quantum computers, and discuss the issue of universal quantum gates.Показать полностьюThe review begins with background on theoretical computer science, Turing machines and Boolean circuits. In light of these models, I define quantum computers, and discuss the issue of universal quantum gates. Quantum algorithms, including Shor’s factorization algorithm and Grover’s algorithm for searching databases, are explained. I will devote much attention to understanding what the origins of the quantum computational power are, and what the limits of this power are. Finally, I describe the recent theoretical results which show that quantum computers maintain their complexity power even in the presence of noise, inaccuracies and finite precision. This question cannot be separated from that of quantum complexity, because any realistic model will inevitably be subject to such inaccuracies. I tried to put all results in their context, asking what the implications to other issues in computer science and physics are. In the end of this review I make these connections explicit, discussing the possible implications of quantum computation on fundamental physical questions, such as the transition from quantum to classical physics.

The workshop covered a wide range of topics in quantum probability and measurement, from fundamental problems of quantum mechanics to its applications in the newly developing quantum technologies.Показать полностьюThe workshop covered a wide range of topics in quantum probability and measurement, from fundamental problems of quantum mechanics to its applications in the newly developing quantum technologies. The workshop brought together leading figures in the field in the pleasant surroundings of Hugh Stewart Hall on Nottingham University campus. We are grateful to the local organizers from the Conference Office and the Hall for their helpfulness and hospitality.

This book is addressed to undergraduate and graduate students in physics, mathematics and computer science. It is written at a level comprehensible to readers with the background of a student near to the end of an undergraduate course in one of the above three disciplines.Показать полностьюThis book is addressed to undergraduate and graduate students in physics, mathematics and computer science. It is written at a level comprehensible to readers with the background of a student near to the end of an undergraduate course in one of the above three disciplines. Тhеу that no prior knowledge either of quantum mechanics or of classical computation is required to follow this book. Indeed, the first two chapters are a simple introduction to classical computation and quantum mechanics. Our aim is that these chapters should provide the necessary background for an understanding of the subsequent chapters.

The subjects discussed in this book include both experimental and theoretical aspects on ion-trap quantum computers and other proposals for quantum information processing.Показать полностьюThe subjects discussed in this book include both experimental and theoretical aspects on ion-trap quantum computers and other proposals for quantum information processing. It includes work on quantum error correction codes and their potential implications for vlarge' quantum computers. The optimal efficiency of Grover’s algorithm is discussed here as well s cryptographic problems that are unsolvable even with a quantum computer. Other questions in the processing and representation of quantum information are studied.

In this first comprehensive introduction to the main ideas and techniques of quantum computation and information, Michael Nielsen and Isaac Chuang ask the question: What are the ultimate physical limits to computation and communication? They detail such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error correction.Показать полностьюIn this first comprehensive introduction to the main ideas and techniques of quantum computation and information, Michael Nielsen and Isaac Chuang ask the question: What are the ultimate physical limits to computation and communication? They detail such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error correction. A wealth of accompanying figures and exercises illustrate and develop the material in more depth. They describe what a quantum computer is, how it can be used to solve problems faster than familiar “classical” computers, and the real-world implementation of quantum computers. Their book concludes with an explanation of how quantum states can be used to perform remarkable feats of communication, and of how it is possible to protect quantum states against the effects of noise.

Based on the Fourth International Conference on Quantum Communication, Measurement and Computing, this volume brings together scientists working in the interdisciplinary fields of quantum communication science and technology.Показать полностьюBased on the Fourth International Conference on Quantum Communication, Measurement and Computing, this volume brings together scientists working in the interdisciplinary fields of quantum communication science and technology. In contrast to the previous conferences in this series, which were mainly theoretical, QCH '98 devoted more attention to the experimental aspects. Topics include quantum information theory, quantum computing, quantum communication systems, cryptography, new quantum effects and their experiments, generation and detection of nonclassical light, quantum noise, stochastic processes and filtering, and quantum measurement theory.

The recent application of the principles of quantum mechanics to cryptography has led to a remarkable new dimension in secret communication. As a result of these new developments, it is now possible to construct cryptographic communication systems which detect unauthorized eavesdropping should it occur, and which give a guarantee of no eavesdropping should it not occur.

Classical and quantum information theory are simply explained. To be more specific it is clarified why Shannon entropy is used as measure of classical information and after a brief review of quantum mechanics it is possible to demonstrate why the density matrix is the main tool of quantum information theory.Показать полностьюClassical and quantum information theory are simply explained. To be more specific it is clarified why Shannon entropy is used as measure of classical information and after a brief review of quantum mechanics it is possible to demonstrate why the density matrix is the main tool of quantum information theory. Then von Neumann entropy is introduced and with its help a great difference between classical and quantum information theory is presented: quantum entanglement. Moreover an information theoretic interpretation of quantum measurement is discussed. Data compression, error correction and noisy channel transmission are simply demonstrated for both classical and quantum cases. Finally using the above theory quantum cryptography is reviewed and the possibility of a commercial device realizing it is explored.

There is no required textbook. Much of the material in the course is based on quite recent research that has not yet appeared in any book. Many relevant research articles can be accessed through the quant-ph eprint archive maintained by Los Alamos National Laboratory.Показать полностьюThere is no required textbook. Much of the material in the course is based on quite recent research that has not yet appeared in any book. Many relevant research articles can be accessed through the quant-ph eprint archive maintained by Los Alamos National Laboratory. One good reference is the lecture notes that were originally prepared for this course when it was taught for the first time in 1997-98. An excellent textbook, Quantum Computation and Quantum Information by Michael Nielsen and Isaac Chuang, will be available in the fall of 2000. In the early part of the course, we'll review the conceptual foundations of quantum mechanics and the theory of measurement. Good books relating to this material are Quantum Theory: Concepts and Methods by Asher Peres (on reserve in Millikan Library) and The Interpretation of Quantum Mechanics by Roland Omnes. Also, there is a good discussion of measurement and decoherence in Quantum Optics by D. F. Walls and G. J. Milburn. Later, we'll develop the quantum theory of information, coding, and complexity. Good books on the corresponding classical theory are Elements of Information Theory by Thomas Cover and Joy Thomas, The Theory of Error-Correcting Codes by F. J. MacWilliams and N. J. A. Sloane, Computers and Intractability by Michael Garey and David Johnson, and Computational Complexity by Christos Papadimitriou.

Das Werk ist urheberrechtlich geschutzt. Die dadurch begrundeten Rechte, insbesondere die der Ubersetzung, des Nachdrucks, der Entnahme von Abbildungen, der Wiedergabe auf photomechanischem oder ahnlichem Wege und der Speicherung in Datenverarbeitungsanlagen, bleiben, auch bei nur auszugsweiser Verwertung, vorbehalten.

A more complete introduction of the author can be found in the book.This is very different from the “classical” logical approach, which is also top-down: There, the system of symbols, the axioms, as well as the rules of inference are mentally constructed, abstract objects of our thought.Показать полностьюA more complete introduction of the author can be found in the book.This is very different from the “classical” logical approach, which is also top-down: There, the system of symbols, the axioms, as well as the rules of inference are mentally constructed, abstract objects of our thought. Insofar as our thoughts can pretend to exist independent from the physical Universe, such “classical” logical systems can be conceived as totally independent from the world of the phenomena.

Quantum computers require quantum logic, something fundamentally different to classical Boolean logic. The difference leads to a greater efficiency of quantum computation over its classical counterpart.Показать полностьюQuantum computers require quantum logic, something fundamentally different to classical Boolean logic. The difference leads to a greater efficiency of quantum computation over its classical counterpart. In this review we explain the basic principles of quantum computation, including the construction of basic gates, and networks. We illustrate the power of quantum algorithms using the simple problem of Deutsch, and explain, again in very simple terms, the well known algorithm of Shor for factorisation of large numbers into primes. We then describe physical implementations of quantum computers, focusing on one in particular, the linear ion trap realization. We explain that the main obstacle to building an actual quantum computer is the problem of decoherence, which we show may be circumvented using the methods of quantum error correction.