Networks

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Charles Floate – Safe & Strong The Definitive Guide To Private Blog Networks

Charles Floate – Safe & Strong The Definitive Guide To Private Blog NetworksIt’s Time To Finally Set The Record Straight on PBNsWarning: This is not for rookie SEOs. PBNs can seriously supercharge your SEO efforts--but if...


Lakhmi Jain N Martin – Fusion Of Neural Networks Fuzzy Systems And Genetic Algorithms

Lakhmi Jain N Martin - Fusion Of Neural Networks Fuzzy Systems And Genetic Algorithms


Rogan Labier – The Nasdaq Trader’s Toolkit

Rogan Labier – The Nasdaq Trader’s ToolkitFrom the Inside FlapNothing has changed the markets more in the past few years than the advent of direct access. If you have a computer and a phone line, you...


Abhijit S. Pandya – Pattern Recognition with Neural Networks in C++

Abhijit S. Pandya – Pattern Recognition with Neural Networks in C++The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in...


Oren Fuerst – From Concept to Wall Street

Oren Fuerst – From Concept to Wall StreetFrom the Back Cover"From Concept to Wall Street" is the definitive guide to the new realities of venture capital. Two leading experts in venture-backed entrepreneurship offer start-to-finish coverage of...


Timothy Masters – Signal & Image Processing with Neural Networks a C++ Sourcebook

Timothy Masters – Signal & Image Processing with Neural Networks a C++ SourcebookDemonstrates how neural networks can be used to aid in the solution of digital signal processing (DSP) or imaging problems. A large section is...


Jose C. Principe – Neural & Adaptive Systems

Jose C. Principe – Neural & Adaptive SystemsLike no other text in this field, authors Jose C. Principe, Neil R. Euliano, and W. Curt Lefebvre have written a unique and innovative text unifying the concepts of...


John Y. Campbell – The Econometrics of Financial Markets

John Y. Campbell – The Econometrics of Financial Markets From the Publisher The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated...


Juan R. Rabunal – Artificial Neural Networks in Real Life Applications

Juan R. Rabunal – Artificial Neural Networks in Real Life ApplicationsArtificial Neural Networks in Real-Life Applications offers an outlook on the most recent works in the field of artificial neural networks (ANN). It includes theoretical developments...


Mick Meaney – Free Traffic Secret

Mick Meaney – Free Traffic SecretATTENTION: You have not verified your emailWAIT! BEFORE YOU CHECK YOUR EMAIL!…How does a tiny niche website get MILLIONS of visitors?Welcome to the template-based traffic systemHow would you monetize traffic like this?The more...


Alphee Lavoie – Neural Networks In Financial Astrology (Article)

Alphee Lavoie - Neural Networks in Financial Astrology (Article)AIR Software (USA) has created a new program, Market Trader Expert, to analyze all stock markets. This program uniquely combines methods of technical analysis with astrological insights.This software program is a...


Joseph P.Bigus – Data Mining With Neural Networks

Joseph P.Bigus - Data Mining with Neural NetworksReaders will find concrete implementation strategies, reinforced with real-world business examples and a minimum of formulas, and case studies drawn from a broad range of industries. The book illustrates...


Dave Anderson & George McNeill – Artificial Neural Networks Technology

Dave Anderson, George McNeill - Artificial Neural Networks TechnologyThis report is intended to help the reader understand what Artificial Neural Networks are, how to use them, and where they are currently being used.Artificial Neural Networks are...


Madan M. Gupta & Liang Jin & N. Homma – Static & Dynamic Neural Networks

Provides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. *An Instructor Support FTP site is available...


Adrian Silvescu – Fourier Neural Networks

Adrian Silvescu – Fourier Neural Networks (Article)size 587 KBThe first mathematical model of a neuron was proposed by McCulloch & Pitts[1943].The underlying idea that this model tries to capture is that the response function of a...