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Neural, novel & hybrid algorithms for time series prediction
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Neural, novel & hybrid algorithms for time series prediction

by Timothy Masters

This technical guide outlines the development of neural network applications for business forecasting, economic tracking and engineering control. It includes software for time series analysis and customisable source code in C++ and Pentium-optimised assembler.

Accession 10429 ISBN 0471130419 Publisher John Wiley & Sons
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Curated Derived
Computer Science Economics Mathematics Prediction Science The Future Time
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True
position_updated_at
2026-06-01 16:33
orientation
vertical
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Hard Back
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spine_text
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LOCATION HISTORY
M:N3:4 5 Current vertical
1 week, 3 days ago
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Updated 4 days, 20 hours ago
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Identity

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Neural, novel & hybrid algorithms for time series prediction
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10429
vernon_slug
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isbn_issn→ isbn (when valid)
0471130419

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1995
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brief_description
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Subjects & people

authors→ author (initial fill only)
Timothy Masters
tags→ tags
Science, Mathematics, Probabilities, Statistics, Computer systems, Electronic data processing, Computers, Algorithms, Algebra, Neural networks (Computer science), Soft computing, Mathematical statistics, Time-series analysis
subject_people
—
subject_objects
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