Natural Computing Algorithms, Anthony Brabazon; Michael O`Neill; Se?n McGarraghy

Автор: Anthony Brabazon; Michael O`Neill; Se?n McGarraghy
Название: Natural Computing Algorithms
ISBN: 3662501163 ISBN-13(EAN): 9783662501160
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Introduction.- Introduction to Evolutionary Computing.- Genetic Algorithms.- Extending the Genetic Algorithm.- Evolution Strategies and Evolutionary Programming.- Differential Evolution.- Genetic Programming.- Particle Swarm Algorithms.- Ant Algorithms.- Honeybee Algorithms.- Other Social Algorithms.- Bacterial Foraging Algorithms.- Neural Networks for Supervised Learning.- Neural Networks for Unsupervised Learning.- Neuroevolution.- Artificial Immune Systems.- An Introduction to Developmental and Grammatical Computing.- Grammar-Based and Developmental Genetic Programming.- Grammatical Evolution.- TAG3P and Developmental TAG3P.- Genetic Regulatory Networks.- An Introduction to Physics-Inspired Computing.- Physics-Inspired Computing Algorithms.- Quantum-Inspired Evolutionary Algorithms.- Plant-Inspired Algorithms.- Chemistry-Inspired Algorithms.- Conclusions.- References.- Index.

Автор: Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin
Название: Adaptive and Natural Computing Algorithms
ISBN: 3540715894 ISBN-13(EAN): 9783540715894
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. This two volume set covers evolutionary computation, genetic algorithms, and particle swarm optimization. It also covers neural networks, and support vector machines.

Автор: Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beli
Название: Adaptive and Natural Computing Algorithms
ISBN: 3642049206 ISBN-13(EAN): 9783642049200
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scienti?c community. Originally ICANNGA stood for "International Conference on Arti?cial Neural Networks and Genetic Algorithms," but in 2005 the conference was renamed to "International C- ference on Adaptive and Natural Computing Algorithms," while keeping the acronymICANNGA.The?rstICANNGAconferencewasheldinInnsbruckA- tria (1993), then Al es in France (1995), Norwich in the UK (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001), Roanne in France (2003), CoimbrainPortugal(2005)andWarsawinPoland(2007).ContinuingthisEu- peantradition, the9thICANNGA washeldinKuopio, Finland(2009).Thevast majority of ICANNGA conferences is organized by and based at a university. Drawing on the experience of previous events and following the same g- eral model, ICANNGA 2009 combined plenary lectures and technical sessions. Apart from being a widely recognized conference, it enhanced the possibility to exchange opinions through lectures and discussions, provided a great oppor- nity to meet new colleagues, as well as to renew old friendships and to facilitate the possibilities for international collaborations. As previously, the conference proceedings are published in the Springer LNCS series.

Автор: Bernadete Ribeiro; Rudolf F. Albrecht; Andrej Dobn
Название: Adaptive and Natural Computing Algorithms
ISBN: 3211249346 ISBN-13(EAN): 9783211249345
Издательство: Springer
Рейтинг:
Цена: 29209.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area.

Автор: Marsland
Название: Machine Learning
ISBN: 1466583282 ISBN-13(EAN): 9781466583283
Издательство: Taylor&Francis
Рейтинг:
Цена: 12095.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

A Proven, Hands-On Approach for Students without a Strong Statistical Foundation

Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.

Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation.

New to the Second Edition

• Two new chapters on deep belief networks and Gaussian processes
• Reorganization of the chapters to make a more natural flow of content
• Revision of the support vector machine material, including a simple implementation for experiments
• New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron
• Additional discussions of the Kalman and particle filters
• Improved code, including better use of naming conventions in Python

Suitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code. Each chapter includes detailed examples along with further reading and problems. All of the code used to create the examples is available on the author's website.

Автор: Anthony Brabazon; Michael O`Neill
Название: Natural Computing in Computational Finance
ISBN: 3642096204 ISBN-13(EAN): 9783642096204
Издательство: Springer
Рейтинг:
Цена: 30606.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Optimisation.- Natural Computing in Computational Finance: An Introduction.- Constrained Index Tracking under Loss Aversion Using Differential Evolution.- An Evolutionary Approach to Asset Allocation in Defined Contribution Pension Schemes.- Evolutionary Strategies for Building Risk-Optimal Portfolios.- Evolutionary Stochastic Portfolio Optimization.- Non-linear Principal Component Analysis of the Implied Volatility Smile using a Quantum-inspired Evolutionary Algorithm.- Estimation of an EGARCH Volatility Option Pricing Model using a Bacteria Foraging Optimisation Algorithm.- Model Induction.- Fuzzy-Evolutionary Modeling for Single-Position Day Trading.- Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming.- Using Kalman-filtered Radial Basis Function Networks for Index Arbitrage in the Financial Markets.- On Predictability and Profitability: Would GP Induced Trading Rules be Sensitive to the Observed Entropy of Time Series?.- Hybrid Neural Systems in Exchange Rate Prediction.- Agent-based Modelling.- Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market.- Can Trend Followers Survive in the Long-Run% Insights from Agent-Based Modeling.- Co-Evolutionary Multi-Agent System for Portfolio Optimization.

Автор: Anthony Brabazon; Michael O`Neill
Название: Natural Computing in Computational Finance
ISBN: 3642101127 ISBN-13(EAN): 9783642101120
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The first part of this book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number of agent-based simulations of financial systems.

Автор: Anthony Brabazon; Michael O`Neill; Dietmar G. Mari
Название: Natural Computing in Computational Finance
ISBN: 3642139493 ISBN-13(EAN): 9783642139499
Издательство: Springer
Рейтинг:
Цена: 23508.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Автор: Wim Verhaegh; Emile Aarts; Jan Korst
Название: Intelligent Algorithms in Ambient and Biomedical Computing
ISBN: 9400787286 ISBN-13(EAN): 9789400787285
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The rapid growth in electronic systems in the past decade has boosted - search in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data, the role of intelligent algorithms has become prominent in order to visualize, manipulate, retrieve, and interpret the data. For instance, intelligent search techniques have been developed to search for relevant items in huge coll- tions of web pages, and data mining and interpretation techniques play a very important role in making sense out of huge amounts of biomolecular measu- ments. As a result, the added value of many modern systems is no longer determined by hardware only, but increasingly by the intelligent software that supports and facilitates the user in realizing his or her objectives. Overthepastyears, considerableprogresshasbeenmadeintheareaofc- putational intelligence, which can be positioned at the intersection of computer science, discrete mathematics, and cognitive science. This has led to a gr- ing community of practitioners within Philips Research that develop, analyze, and apply intelligent algorithms. The Symposium on Intelligent Algorithms (SOIA) intends to provide this community of practitioners with a platform to exchange information. The ?rst edition of SOIA, held in 2002, addressed the topic of intelligent algorithms in ambient intelligence.

Автор: Anthony Brabazon; Michael O`Neill; Dietmar G. Mari
Название: Natural Computing in Computational Finance
ISBN: 3642263690 ISBN-13(EAN): 9783642263699
Издательство: Springer
Рейтинг:
Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.