Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence, Hopgood Adrian A.
Старое издание
Автор: Adrian A. Hopgood Название: Intelligent Systems for Engineers and Scientists ISBN: 1439821208 ISBN-13(EAN): 9781439821206 Издательство: Taylor&Francis Цена: 18374.00 р. Наличие на складе: Невозможна поставка. Описание: The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids.Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself.The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control.The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance.Check out thesignificantly expanded set of free web-based resources thatsupport the book at: http://www.adrianhopgood.com/aitoolkit/
Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python
Key Features
Understand how to obtain financial data via Quandl or internal systems
Automate commercial banking using artificial intelligence and Python programs
Implement various artificial intelligence models to make personal banking easy
Book Description
Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.
You'll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you'll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you'll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you'll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you'll get to grips with some real-world AI considerations in the field of banking.
By the end of this book, you'll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
What you will learn
Automate commercial bank pricing with reinforcement learning
Perform technical analysis using convolutional layers in Keras
Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases
Deploy a robot advisor to manage your personal finances via Open Bank API
Sense market needs using sentiment analysis for algorithmic marketing
Explore AI adoption in banking using practical examples
Understand how to obtain financial data from commercial, open, and internal sources
Who this book is for
This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.
Описание: Emotions convey significant information through means of natural language analysis, embodiment, and emotional signing. Machines equipped with the ability to experience and interpret emotions perform better in complex environments and share in the emotionally-rich social context.The Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics presents a solid framework for taking human-robot interaction closer to its full potential. Presenting a close look at all the factors involved in modeling emotions and applying a thorough understanding of human emotional recognition to technology, this volume appeals to active researchers in the fields of artificial emotions, artificial intelligence, computing, robotics, philosophy, and psychology, as well as to students interested in the research of synthetic emotions.
Автор: Hand Название: Artificial Intelligence Frontiers in Statistics ISBN: 0412407108 ISBN-13(EAN): 9780412407109 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a summary of recent work on the interface between artificial intelligence and statistics
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11504.00 р. Наличие на складе: Нет в наличии.
Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39640.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
Автор: Li Название: Artificial Intelligence with Uncertainty ISBN: 1584889985 ISBN-13(EAN): 9781584889984 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Поставка под заказ.
Описание: Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.
Описание: The amount of data used in the business world has been growing at a rapid and exponential rate. These large volumes of data have led not only to the rise of big data analytics, but to the need for improvements and advancements in the management of it.Recent Advances in Intelligent Technologies and Information Systems brings together current practices and innovations in the management and processing of diverse big data sets through technological integration. Focusing on concepts such as semantic technologies, open source tools, and soft computing, this book is an integral reference source for professionals, researchers, and practitioners interested in the application of technological advancements.
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Artificial Intelligence Trends in Intelligent Systems ISBN: 3319572601 ISBN-13(EAN): 9783319572604 Издательство: Springer Рейтинг: Цена: 39130.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms.
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Artificial Intelligence Perspectives in Intelligent Systems ISBN: 3319336231 ISBN-13(EAN): 9783319336237 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-Of-The-Art Review.- Narration Framework of Chinese Ancient Fiction Images in the Digital Environment.- Toward Computing Oriented Representation of Sets.- Simplified Version of White Wine Grape Berries Detector Based on SVM and HOG Features.- Automated Product Design and Development Using Evolutionary Ontology.- Energy Conservation Technique on Multiple Radio Incorporated Smart Phones.- Real Time Tasks Scheduling Optimization Using Quantum Inspired Genetic Algorithms.- Fuzzy Energy Aware Real Time Scheduling Targeting Mono-Processor Embedded Architectures.- Total Tardiness Minimization in a Flow Shop With Blocking Using An Iterated Greedy Algorithm.- A Firefly Algorithm to Solve the Manufacturing Cell Design Problem.- Solving the Manufacturing Cell Design Problem Via Invasive Weed Optimization.- VLSI Placement Problem Based on Ant Colony Optimization Algorithm.- Pattern Recognition on the Basis of Boltzmann Machine Model.- Parallel Genetic Algorithm Based on Fuzzy Controller for Design Problems.- To Scheduling Quality of Sets of Precise Form Which Consist of Tasks of Circular And Hyperbolic Type In Grid Systems.- Exploring Performance of Instance Selection Methods in Text Sentiment Classification.- Placement of Vlsi Fragments Based on A Multilayered Approach.- Genetic Algorithm Approach in Optimizing the Energy Intake for Health Purpose.- Formal Verification and Accelerated Inference.- A Hybrid Approach to Automated Music Composition.- Detection of White Grapes in Natural Environment Using Neural Network as A Classifier.- A Concept of Innovative Speech Interfaces With Augmented Reality and Interactive Systems for Controlling Lifting Devices.- Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network.- Binary Image Quality Assessment - A Hybrid Approach Based on Binarization Evaluation Methods.- Biogeography-Based Optimization Algorithm for Solving the Set Covering Problem.- Approaches to Tackle the Nesting Problems.- Lozi Map Generated Initial Population in Analytical Programming.- Comparison of Success Rate of Numerical Weather Prediction Models With Forecasting System of Convective Precipitation.- High Speed, Efficient Area, Low Power Novel Modified Booth Encoder Multiplier for Signed-Unsigned Number.- Mining Customer Behavior in Trial Period of a Web Application Usage - Case Study.- In Search of a Semantic Book Search Engine on the Web: Are we there Yet?.- Automated Design and Optimization of Specific Algebras by Genetic Algorithms.- Hybrid Nature-Inspired Algorithm for Symbol Regression Problem.- Albanian Advertising Keyword Generation and Expansion.- A Beam-Search Approach to the Set Covering Problem.- Generating Fuzzy Rules for Constructing Interpretable Classifier of Diabetes Disease In Bangladesh.- A Semantic Annotation Model for Arabic Normative Provisions.- A Touch Sensitive Keypad Layout for Improved Usability of Smartphones for the Blind and Visually Impaired Persons.- A Nature Inspired Intelligent Water Drop Algorithm and its Application for Solving the Set Covering Problem.- Firefly Algorithm to Solve a Project Scheduling Problem.- A Binary Invasive Weed Optimization Algorithm for the Set Covering Problem.- A Simplified Form of Fuzzy Multiset Finite Automata.- Fireworks Explosion can Solve the Set Covering Problem.- A Bi-Objective Cat Swarm Optimization Algorithm for Set Covering Problem.- An Alternative Solution to the Software Project Scheduling Problem.- A Binary Cat for the Set Covering Problem.- Study on the Time Development of Complex Network for Metaheuristic.
Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.
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