http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Emerging capabilities and applications of artificial higher order neural networks
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.
"Premier Reference Source" -- taken from front cover.
Includes bibliographical references and index.
Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]
Advances in computational intelligence and robotics (ACIR) book series