Masters Theses

Title

Intelligent technical analysis using neural networks and fuzzy logic

Abstract

"The objective of this study is to evaluate the use of fuzzy logic and neural networks for increasing the efficiency of using technical analysis for predicting stock trading signals. The goal is to develop a Fuzzy-Neuro model which combines the contradicting decisions of individual technical indicators into a single buy/sell decision and by doing so effectively predict the movement of stock price trends."--page 3.

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Publisher

University of Missouri--Rolla

Publication Date

Fall 2002

Pagination

ix, 46 pages

Note about bibliography

Includes bibliographical references (leaves 96-97).

Rights

© 2002 Vamsi Krishna Bogullu, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Investment analysis
Stocks -- Prices
Fuzzy systems
Neural networks (Computer science)
Fuzzy logic

Thesis Number

T 8174

Print OCLC #

52777781

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b4976940~S5

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