Emerging capabilities and applications of artificial higher order neural networks / by Ming Zhang.

Format:

Book

Author/Creator:

Zhang, Ming, 1949 July 29- author.

Language:

English

Subjects (All):

Neural networks (Computer science)--Industrial applications.

Neural networks (Computer science).

Engineering--Data processing.

Engineering.

Business--Decision making--Data processing.

Business.

Physical Description:

24 PDFs (540 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

Summary:

"This book explores the emerging capabilities and applications of artificial higher order neural networks in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering"-- Provided by publisher.

Contents:

Section 1. Models of artificial higher order neural networks. Chapter 1. Models of artificial higher order neural networks ; Chapter 2. Models of artificial multi-polynomial higher order neural networks ; Chapter 3. Group models of artificial polynomial and trigonometric higher order neural networks

Section 2. Artificial higher order neural networks for economics and business. Chapter 4. SAS nonlinear models or artificial higher order neural network nonlinear models? ; Chapter 5. Time series data analysis by ultra-high frequency trigonometric higher order neural networks ; Chapter 6. Financial data prediction by artificial sine and cosine trigonometric higher order neural networks

Section 3. Artificial higher order neural networks for modeling and simulation. Chapter 7. Data classification using ultra-high frequency SINC and trigonometric higher order neural networks ; Chapter 8. Data simulations using cosine and sigmoid higher order neural networks ; Chapter 9. Rainfall estimation using neuron-adaptive higher order neural networks

Section 4. Artificial higher order neural networks for control and recognition. Chapter 10. Control signal generator based on ultra-high frequency polynomial and trigonometric higher order neural networks ; Chapter 11. Data pattern recognition based on ultra-high frequency sigmoid and trigonometric higher order neural networks ; Chapter 12. Face recognition based on higher order neural network group-based adaptive tolerance Trees.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781799835653

OCLC:

1138997053