Title
Neural, Novel & Hybrid Algorithms for Time Series Prediction,Used
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An authoritative guide to predicting the future using neural, novel, and hybrid algorithmsExpert Timothy Masters provides you with carefully paced, stepbystep advice and guidance plus the proven tools and techniques you need to develop successful applications for business forecasting, stock market prediction, engineering process control, economic cycle tracking, marketing analysis, and more. Neural, Novel & Hybrid Algorithms for Time Series Prediction provides information on:* Robust confidence intervals for predictions made with neural, ARIMA, and other models* Wavelets for detecting features that presage important events* Multivariate ARMA models for simultaneous prediction of multiple series based on multiple inputs and shocks* Hybrid ARMA/neural models to improve the accuracy of predictions* Data reduction and orthogonalization using principal components and related operations* Digital filters for preprocessing to enhance useful information and suppress noise* Diagnostic tools such as the maximum entropy spectrum and SavitzkyGolay filters for suggesting and validating prediction models* Effective preprocessing techniques for prediction with neural networksCDROM INCLUDES:* PREDICTboth DOS and Windows NT versionsa powerful time series program that can be easily customized to make accurate predictions in any application area* Much useful source code, including the complexgeneral multivariate fast Fourier transform in both C++ and Pentiumoptimized assembler
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- Q: How many pages does this book have? A: This book has five hundred fourteen pages. It provides a comprehensive guide to time series prediction using various algorithms.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes the book lightweight and easy to handle.
- Q: What are the dimensions of the book? A: The book measures seven point thirty-eight inches in length, one point twenty-four inches in width, and nine point eighty inches in height. These dimensions make it convenient for reading and storage.
- Q: Who is the author of this book? A: The author is Timothy Masters. He is recognized for his expertise in neural and hybrid algorithms for time series prediction.
- Q: What is the main focus of this book? A: The main focus is on predicting future trends using neural, novel, and hybrid algorithms. It covers essential techniques for various applications.
- Q: Is there a CD-ROM included with the book? A: Yes, a CD-ROM is included. It contains a powerful time series program called PREDICT and useful source code.
- Q: How do I use the techniques in this book? A: You can apply the techniques by following the step-by-step guidance provided by the author. The book includes real-world applications for business forecasting.
- Q: Is this book suitable for beginners? A: Yes, it is suitable for beginners. The author provides carefully paced advice and guidance for readers new to time series prediction.
- Q: Can professionals benefit from this book? A: Yes, professionals can benefit significantly. It covers advanced techniques that can enhance their predictive models.
- Q: What tools are recommended in this book? A: The book recommends tools like robust confidence intervals and hybrid ARMA/neural models. These tools improve prediction accuracy.
- Q: How should I care for this book? A: Keep the book in a dry place away from direct sunlight. This helps preserve the quality of the paperback binding and pages.
- Q: Is there a warranty for this book? A: There is no warranty for books. However, if the book arrives damaged, you can usually return it to the seller.
- Q: What if I have trouble understanding the content? A: If you have trouble, consider reviewing the examples given in the book. They provide practical applications of the concepts discussed.
- Q: Can I return the book if I don’t find it useful? A: Yes, you can typically return it within the seller's return policy. Check with the retailer for specific return guidelines.
- Q: Is there any specific audience this book targets? A: This book targets both students and professionals in fields like business forecasting and engineering. It's beneficial for a wide range of readers.