Regression Analysis Using Neural Networks

Neural Networks

Neurals network, formerly known as parallel distributed system, is inspired by its biological counterpart. As the alias implies, input to the network is sent in parallel, though some networks are synchronously updated while others are asynchronously updated. Neural networks are used widely in computer science, engineering, and statistics, and its has many applications, from modelling neurological processes, mRNA splice site identification, to stock market price predictions.

While neural networks can perceived just as an abstract entity, it can also be considered in a biological context presented henceforth. The network consists of a collection of nodes, which representing neurons. The activity of a node represent the frequency of action potentials that is transduced. Activities are transmitted from one neuron to another through synapses, whose properties dictate the polarity and strength of the signal. Each input activity to a neuron is thus associated with a weight that describes the polarity and strength of the input. The weighted inputs from all the presynaptic neurons are summated and constitute the input to the postsynaptic neuron, which then produces an output activity based on a transfer function. For the sake of biological relevance, the choice the transfer function is usually a logistic funtion, which is ubiquitous in biological systems. (When neural network is first conceived in a non-biological context, the logistic function is used for its mathematical property of being differentiable.) Certain neurons in the network are designated as input neurons which receive sensory inputs, a few are motor neurons whose activities are the output of the network, and the remaining are interneurons.

Source: Physiological Robotics

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Foreign Exchange trading up 21%-- Adios $

2005-01-12 07:32:11 by puro

Did the Romans curse Caligula, or only in historical retrospect?
"Forex trade volumes hit record levels
By Jennifer Hughes in New York
Published: January 11 2005 17:26 | Last updated: January 11 2005 17:26
Foreign exchange trading volumes leapt to record levels in the first week of 2005, according to EBS, the largest interbank trading platform, and the Chicago Mercantile Exchange.
Average daily volume for the week on EBS reached $162bn, up 21 per cent on the same week last year and considerably higher than the average of about $100bn. Total volumes for the week were $811bn.
Trading in FX products over the CME’s Globex electronic platform last week was up 182 per cent over the same period in 2004, and pit-traded options volumes were...

Online Chatter Affects Stock Returns  — Science Daily

... (now an assistant professor at the University of Houston) are publishing their study in the academic journal Marketing Science on how online chatter -- or user-generated content -- can predict stock market returns a few days ahead of time.

Maximizing the election-year boost  — InvestmentNews
Surprisingly, we can predict stock market performance with that degree of accuracy if we consider that over the past 21 presidential-election years, 18 have shown positive returns for the S&P 500. According to “Presidential Puzzle: Political Cycles and …

Elsevier Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression [An article from: Decision Support Systems]
Book (Elsevier)

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