Artificial Intelligence And Neural Networks
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Machine Learning With Neural Networks
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Author : Bernhard Mehlig
language : en
Publisher: Cambridge University Press
Release Date : 2021-10-28
Machine Learning With Neural Networks written by Bernhard Mehlig and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Science categories.
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.
Artificial Intelligence Systems Based On Hybrid Neural Networks
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Author : Michael Zgurovsky
language : en
Publisher: Springer Nature
Release Date : 2020-09-03
Artificial Intelligence Systems Based On Hybrid Neural Networks written by Michael Zgurovsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-03 with Technology & Engineering categories.
This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.
Artificial Neural Network Modelling
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Author : Subana Shanmuganathan
language : en
Publisher: Springer
Release Date : 2016-02-03
Artificial Neural Network Modelling written by Subana Shanmuganathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-03 with Technology & Engineering categories.
This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence
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Author : Nikola K. Kasabov
language : en
Publisher: Springer
Release Date : 2018-08-29
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Neural Networks With R
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Author : Giuseppe Ciaburro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-09-27
Neural Networks With R written by Giuseppe Ciaburro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-27 with Computers categories.
Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the power of neural network models Who This Book Is For This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need! What You Will Learn Set up R packages for neural networks and deep learning Understand the core concepts of artificial neural networks Understand neurons, perceptrons, bias, weights, and activation functions Implement supervised and unsupervised machine learning in R for neural networks Predict and classify data automatically using neural networks Evaluate and fine-tune the models you build. In Detail Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases. By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book. Style and approach A step-by-step guide filled with real-world practical examples.
Neural Networks In Finance And Investing
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Author : Robert R. Trippi
language : en
Publisher: Irwin Professional Publishing
Release Date : 1996
Neural Networks In Finance And Investing written by Robert R. Trippi and has been published by Irwin Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business & Economics categories.
This completely updated version of the classic first edition offers a wealth of new material reflecting the latest developments in teh field. For investment professionals seeking to maximize this exciting new technology, this handbook is the definitive information source.
Artificial Neural Networks
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Author : David J. Livingstone
language : en
Publisher: Humana Press
Release Date : 2011-10-09
Artificial Neural Networks written by David J. Livingstone and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-09 with Computers categories.
In this book, international experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. Methods involving the mapping and interpretation of Infra Red spectra and modelling environmental toxicology are included. This book is an excellent guide to this exciting field.
Neural Networks And Nebbiolo
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Author : Shengli Hu
language : en
Publisher:
Release Date : 2021-09-09
Neural Networks And Nebbiolo written by Shengli Hu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with categories.
This book is a proof of concept for how artificial intelligence could, and should be applied to each and every aspect of the wine industry from vine to wine, to assist wine professionals in improving their professional skills, productivity, and efficiency, to change the wine industry for the better, and ultimately enrich wine consumers' experiences. We ask, answer, illustrate, and demonstrate the solutions to a diverse range of questions relevant to wine professionals and enthusiasts, including but not limited to:How could AI be leveraged for improving viticulture such as vineyard management and natural disaster response?What are the essential components and techniques to enable speech assistants like Alexa or Google Home to answer any wine-related questions?How could AI automatically come up reasonable wine pairing suggestions, whether it be with food, music, or art?How could AI help flying winemakers and globe-trotting wine professionals optimize their lifelong wine experiences?How could AI techniques tailor and optimize for each wine taster the best blind tasting strategies based on personal strengths and weaknesses?What factors could influence bidder behaviors at wine auctions, and which auction design elements play a role in auctioneers expected revenue from the auction? How could AI methods help design the optimal auction mechanism for the auctioneer?Are fine and rare wines worth considering of potential alternative assets relative to traditional assets for investment? How could AI improve wine collector's investment portfolio management strategies?Could AI assist vine-growers, viticulturists, and geneticists in accurately identifying grape varieties around the globe?What makes a great wine list? How to leverage AI to automatically evaluate wine lists objectively? How to automatically generate wine lists according to themes, preferences, moods, and occasions?What are some AI techniques that would enable us to automatically generate wine maps according to any artistic styles?How could we scientifically pinpoint the causal effect of Terrior versus Vigneron on wine? What are some AI techniques that would enable us to know for sure if wine's quality is caused by winemaking practices, vintage variations, climats or lieux-dits, etc.?How could we automatically generate creative cocktail recipes with AI?
Artificial Neural Networks
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Author : Joao Luis Garcia Rosa
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-10-19
Artificial Neural Networks written by Joao Luis Garcia Rosa and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-19 with Computers categories.
The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
Artificial Neural Networks
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Author : Robert J. Schalkoff
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1997
Artificial Neural Networks written by Robert J. Schalkoff and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
While the primary objective of the text is to provide a teaching tool, practicing engineers and scientists are likely to find the clear, concept-based treatment useful in updating their backgrounds.