V.10:6 (251-253): Chaos Theory And Neural Network Analysis by John Kean

V.10:6 (251-253): Chaos Theory And Neural Network Analysis by John Kean
Item# \V10\C06\CHAOS.PDF
$3.95
Availability: In Stock

Product Description

Chaos Theory And Neural Network Analysis by John Kean

Do markets have memory? In this new theory by Edgar Peters, an offshoot of chaos theory, John Kean explains, markets can be regarded as nonlinear dynamic systems, and neural networks can be used to analyze and gauge behavioral patterns in price change data useful in prediction.

It's convenient that, at a time when the T behavioral natures of commodity and financial markets are being rethought, a new technique for examining the data has appeared. Chaos theory, in its in fancy, challenges the statistically based conventional view of markets as unforecastable series of random events . A recently published work by Edgar Peters presents evidence that markets do have memory, which results in price change trends, compared with reversion to a mean. To the extent that markets are indeed chaotic, they are best thought of as nonlinear dynamic systemsócomplicated and difficult to deal with using normal analytical methods. Neural networking is a powerful new method of dealing with data that can provide a test of whether market prices are in any way prophetic, and so whether the conventional view of markets holds.

SELF-TAUGHT INTELLIGENCE

Neural networks are an advanced type of artificial intelligence in which the system teaches itself to solve problems. The internal methods by which the system performs its self-teaching had their origins in the ongoing studies of animal and human intelligence. The process involves furnishing the program with a paired series of input data that leads up to an output event, which in turn would be used to form a prediction. The neural network program then takes the series of inputs, computes its own outputs and compares them to the actual outputs. In the process of trying to get as many of the computed outputs within the given tolerance limits of the actual outputs, the neural program modifies connection strengths amid the neurons that make up the network and thus trains itself. A succession of runs is made through the data until the level of accuracy that is desired is reached. At that point, the "trained" network is ready to be applied to real-world situations.




FOR THOSE ORDERING ARTICLES SEPARATELY:
*Note: $2.95-$5.95 Articles are in PDF format only. No hard copy of the article(s) will be delivered. During checkout, click the "Download Now" button to immediately receive your article(s) purchase. STOCKS & COMMODITIES magazine is delivered via mail. After paying for your subscription at store.traders.com users can view the S&C Digital Edition in the subscriber's section on Traders.com.




Take Control of Your Trading.
Professional Traders' Starter Kit
All these items shown below only $299.99!
  • 5-year subscription to Technical Analysis of STOCKS & COMMODITIES, The Traders' magazine. (Shipping outside the US is extra. Washington state addresses require sales tax based on your locale.)
  • 5 year access to S&C Archive
  • 5 year access to S&C Digital Edition
  • 5-year subscription to Traders.com Advantage.
  • 5-year subscription to Working Money.
  • Free book selection.
  • Click Here to Order