Neural Smithing

Author : Russell Reed,Robert J MarksII
Publisher : MIT Press
Page : 359 pages
File Size : 48,5 Mb
Release : 1999-02-17
Category : Computers
ISBN : 9780262181907

Get Book

Neural Smithing by Russell Reed,Robert J MarksII Pdf

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.

Author : W. Sandham,M. Leggett
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 54,6 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9789401702713

Get Book

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic by W. Sandham,M. Leggett Pdf

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

Author : Daniel S. Levine
Publisher : Psychology Press
Page : 573 pages
File Size : 54,8 Mb
Release : 2000-02-01
Category : Psychology
ISBN : 9781135692247

Get Book

Introduction to Neural and Cognitive Modeling by Daniel S. Levine Pdf

This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/

Author : Dale Mackall
Publisher : Unknown
Page : 92 pages
File Size : 48,9 Mb
Release : 2002
Category : Adaptive control systems
ISBN : NASA:31769000714017

Get Book

Verification and Validation of Neural Networks for Aerospace Systems by Dale Mackall Pdf

Author : Jason Brownlee
Publisher : Machine Learning Mastery
Page : 575 pages
File Size : 48,6 Mb
Release : 2018-12-13
Category : Computers
ISBN : 8210379456XXX

Get Book

Better Deep Learning by Jason Brownlee Pdf

Deep learning neural networks have become easy to define and fit, but are still hard to configure. Discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects. With clear explanations, standard Python libraries, and step-by-step tutorial lessons, you’ll discover how to better train your models, reduce overfitting, and make more accurate predictions.

Author : Jeff Heaton
Publisher : Heaton Research, Inc.
Page : 440 pages
File Size : 45,7 Mb
Release : 2008
Category : Computers
ISBN : 9781604390087

Get Book

Introduction to Neural Networks with Java by Jeff Heaton Pdf

Introduction to Neural Networks in Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward, Hopfield, and Self Organizing Map networks are discussed. Training techniques such as Backpropagation, Genetic Algorithms and Simulated Annealing are also introduced. Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, financial prediction, game strategy, learning mathematical functions and special application to Internet bots. All Java source code can be downloaded online.

Author : Sigeru Omatu,Ali Semalat,Grzegorz Bocewicz,Paweł Sitek,Izabela E. Nielsen,Julián A. García García,Javier Bajo
Publisher : Springer
Page : 567 pages
File Size : 52,8 Mb
Release : 2016-05-31
Category : Technology & Engineering
ISBN : 9783319401621

Get Book

Distributed Computing and Artificial Intelligence, 13th International Conference by Sigeru Omatu,Ali Semalat,Grzegorz Bocewicz,Paweł Sitek,Izabela E. Nielsen,Julián A. García García,Javier Bajo Pdf

The 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)

Author : Yaxin Bi,Supriya Kapoor,Rahul Bhatia
Publisher : Springer
Page : 476 pages
File Size : 44,9 Mb
Release : 2017-12-30
Category : Technology & Engineering
ISBN : 9783319692661

Get Book

Intelligent Systems and Applications by Yaxin Bi,Supriya Kapoor,Rahul Bhatia Pdf

This book addresses a wide range of topics in areas of intelligent systems and artificial intelligence and their real-world applications. The 22 chapters have been selected from the 168 papers published in the proceedings of the SAI Intelligent Systems Conference 2016 (IntelliSys 2016), which received highly positive feedback in peer reviews. The IntelliSys 2016 conference was held in London on 21–22 September 2016. This fascinating book offers readers state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of future research.

Author : Nitish V. Thakor
Publisher : Springer Nature
Page : 3686 pages
File Size : 52,7 Mb
Release : 2023-02-02
Category : Technology & Engineering
ISBN : 9789811655401

Get Book

Handbook of Neuroengineering by Nitish V. Thakor Pdf

This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.​

Author : International Association of Hydrological Sciences. Scientific Assembly
Publisher : Unknown
Page : 302 pages
File Size : 51,7 Mb
Release : 2001
Category : Hydrology
ISBN : 1901502511

Get Book

Regional Management of Water Resources by International Association of Hydrological Sciences. Scientific Assembly Pdf

Author : Luca Lista
Publisher : Springer
Page : 257 pages
File Size : 49,7 Mb
Release : 2017-10-13
Category : Science
ISBN : 9783319628400

Get Book

Statistical Methods for Data Analysis in Particle Physics by Luca Lista Pdf

This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).

Author : Detlef H. Mache,József Szabados,Marcel G. de Bruin
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 45,5 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9783764373566

Get Book

Trends and Applications in Constructive Approximation by Detlef H. Mache,József Szabados,Marcel G. de Bruin Pdf

This volume contains contributions from international experts in the fields of constructive approximation. This area has reached out to encompass the computational and approximation-theoretical aspects of various interesting fields in applied mathematics.

Author : Jason Brownlee
Publisher : Jason Brownlee
Page : 437 pages
File Size : 45,7 Mb
Release : 2011
Category : Computers
ISBN : 9781446785065

Get Book

Clever Algorithms by Jason Brownlee Pdf

This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.

Author : Zhi-Hua Zhou
Publisher : Springer Nature
Page : 460 pages
File Size : 55,7 Mb
Release : 2021-08-20
Category : Computers
ISBN : 9789811519673

Get Book

Machine Learning by Zhi-Hua Zhou Pdf

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest. The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.

Author : Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh
Publisher : Springer Science & Business Media
Page : 169 pages
File Size : 43,9 Mb
Release : 2008-03-19
Category : Mathematics
ISBN : 9783540774662

Get Book

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases by Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh Pdf

The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.