Artificial Neural Networks
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Artificial Neural Networks The Brain Behind Ai
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Author : Jayesh Ahire
language : en
Publisher: Lulu.com
Release Date : 2018-03-24
Artificial Neural Networks The Brain Behind Ai written by Jayesh Ahire and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-24 with Computers categories.
Neural networks are one of the most popular and powerful classes of machine learning algorithms. In quantitative finance neural networks are often used for time-series forecasting, constructing proprietary indicators, algorithmic trading, securities classification and credit risk modeling. They have also been used to construct stochastic process models and price derivatives. Despite their usefulness, neural networks tend to have a bad reputation because their performance is "temperamental". In my opinion, this can be attributed to poor network design owing to misconceptions regarding how neural networks work. This book discusses every aspect of the artificial neural network in very interactive, practical and simple way.
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.
Introduction To Artificial Neural Networks
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Author : Sivanandam S., Paulraj M
language : en
Publisher: Vikas Publishing House
Release Date : 2009-11-01
Introduction To Artificial Neural Networks written by Sivanandam S., Paulraj M and has been published by Vikas Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-01 with Computers categories.
This fundamental book on Artificial Neural Networks has its emphasis on clear concepts, ease of understanding and simple examples. Written for undergraduate students, the book presents a large variety of standard neural networks with architecture, algorithms and applications.
Analysis And Applications Of Artificial Neural Networks
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Author : Leo P. J. Veelenturf
language : en
Publisher:
Release Date : 1995
Analysis And Applications Of Artificial Neural Networks written by Leo P. J. Veelenturf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
This volume is an analysis of the behaviour of the three types of neural networks: the binary perceptron, the continuous perceptron and the self-organizing neural network. Analysis is largely mathematical but concepts are also explained through practical examples.
Understanding 99 Of Artificial Neural Networks
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Author : Marcelo Bosque
language : en
Publisher: Writers Club Press
Release Date : 2002-03
Understanding 99 Of Artificial Neural Networks written by Marcelo Bosque and has been published by Writers Club Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-03 with Computers categories.
There is a deep desire in men, in order to reproduce intelligence and place it in a machine. Neural Networks are an attempt to reproduce the synaptic connections of our brain in a computer. Duplicating the way we use our neurons to think in a machine, it is expected to have a device that could be able to do "intelligent" tasks, the ones reserved just to humans some time ago. Neural Network are a reality now, not a fantasy, and they have been made in order to recognize patterns (a face ,a photograph or a song, are patterns) and forecast trends. I have seen many books about this subject in my life. All of them are hard to read, and tedious to learn, so I decided to make my own one. For beginner readers, I have tried to use a simple language, in order to be understood by anyone who wants to know about nets. An easy to read, practical and concise work. If you are interested in the brain functions and how can we simulate it in a computer, you'll get here a different way to penetrate into their secrets.For advanced readers who want to make their own nets, I have included a methodology for building neural networks and complete sample computer source-code with tricks that will save you a lot of time while designing it.
Artificial Neural Networks
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Author : Dan W. Patterson
language : en
Publisher:
Release Date : 1996
Artificial Neural Networks written by Dan W. Patterson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
This comprehensive tutorial on artifical neural networks covers all the important neural network architectures as well as the most recent theory--e.g., pattern recognition, statistical theory, and other mathematical prerequisites. A broad range of applications is provided for each of the architectures.
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.
Principles Of Artificial Neural Networks 3rd Edition
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Author : Daniel Graupe
language : en
Publisher: World Scientific
Release Date : 2013-07-31
Principles Of Artificial Neural Networks 3rd Edition written by Daniel Graupe and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-31 with Computers categories.
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
Artificial Neural Networks
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Author : Seoyun J. Kwon
language : en
Publisher:
Release Date : 2011
Artificial Neural Networks written by Seoyun J. Kwon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Neural networks (Computer science) categories.
An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features into existing applications by an intelligent, human-like application of knowledge. ANN can be considered as a mathematical or computational model based on biological (brain) neural networks. ANN is an adaptive system that changes its structure based on external or internal information that is processed within the network during the learning stage. ANNs implement algorithms that attempt to achieve neurologically-related processes and performances such as learning from experience, making generalisations from similar situations and judging states where poor results were achieved in the past. This new and important book gathers the most current research from across the globe in the study of artificial neural networks.
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.