Artificial higher order neural networks for computer science and engineering : trends for emerging applications / [edited by] Ming Zhang.

"Artificial neural network research is one of the promising new directions for the next generation of computers and open box artificial Higher Order Neural Networks (HONNs) play an important role in this future.Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends...

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Bibliographic Details
Other Authors: Zhang, Ming, 1949 July 29- (Editor)
Format: Ebook
Language:English
Published: Hershey, PA : Information Science Reference, [2010]
Subjects:
Online Access:IGI Global e-Book Collection
Table of Contents:
  • Section 1. Artificial Higher Order Neural Networks for Computer Science:
  • 1. Higher Order Neural Network Group-based Adaptive Tolerance Trees / Ming Zhang
  • 2. Higher Order Neural Networks for Symbolic, Sub-symbolic and Chaotic Computations / João Pedro Neto
  • 3. Evolutionary Algorithm Training of Higher Order Neural Networks / M. G. Epitropakis, V. P. Plagianakos, Michael N. Vrahatis
  • 4. Adaptive Higher Order Neural Network Models for Data Mining / Shuxiang Xu
  • 5. Robust Adaptive Control Using Higher Order Neural Networks and Projection / Wen Yu
  • 6. On the Equivalence between Ordinary Neural Networks and Higher Order Neural Networks / Mohammed Sadiq Al-Rawi, Kamal R. Al-Rawi
  • Section 2. Artificial Higher Order Neural Networks for Simulation and Modeling:
  • 7. Rainfall Estimation Using Neuron-Adaptive Higher Order Neural Networks / Ming Zhang
  • 8. Analysis of Quantization Effects on Higher Order Function and Multilayer Feedforward Neural Networks / Minghu Jiang, Georges Gielen, Lin Wang
  • 9. Improving Sparsity in Kernelized Nonlinear Feature Extraction Algorithms by Polynomial Kernel Higher Order Neural Networks / Zhao Lu, Gangbing Song, Leang-san Shieh
  • 10. Analysis and Improvement of Function Approximation Capabilities of Pi-Sigma Higher Order Neural Networks / Junichi Murata
  • 11. Dynamic Ridge Polynomial Higher Order Neural Network / Rozaida Ghazali, Abir Hussain, Nazri Mohd Nawi
  • Section 3. Artificial Higher Order Neural Networks for Computer Engineering:
  • 12. Fifty years of Electronic Hardware Implementations of First and Higher Order Neural Networks / David R. Selviah, Janti Shawash
  • 13. Recurrent Higher Order Neural Network Control for Output Trajectory Tracking with Neural Observers and Constrained Inputs / Luis J. Ricalde, Edgar N. Sanchez, Alma Y. Alanis
  • 14. Artificial Higher Order Neural Network Training on Limited Precision Processors / Janti Shawash, David R. Selviah
  • 15. Recurrent Higher Order Neural Observers for Anaerobic Processes / Edgar N. Sanchez, Diana V. Urrego, Alma Y. Alanis, Salvador Carlos-Hernandez
  • 16. Electric Machines Excitation Control via Higher Order Neural Networks / Yannis L. Karnavas
  • Section 4. Artificial Higher Order Neural Network Models and Applications:
  • 17. Higher Order Neural Networks: Fundamental Theory and Applications / Madan M. Gupta, Noriyasu Homma, Zeng-Guang Hou, Ashu M. G. Solo, Ivo Bukovsky
  • 18. Identification of Nonlinear Systems Using a New Neuro-Fuzzy Dynamical System Definition Based on High Order Neural Network Function Approximators / Yiannis S. Boutalis, M. A. Christodoulou, Dimitris C. Theodoridis
  • 19. Neuro - Fuzzy Control Schemes Based on High Order Neural Network Function Approximators / Dimitris C. Theodoridis, M. A. Christodoulou, Yiannis S. Boutalis
  • 20. Back-Stepping Control of Quadrotor: A Dynamically Tuned Higher Order Like Neural Network Approach / Abhijit Das, Frank L. Lewis, Kamesh Subbarao
  • 21. Artificial Tactile Sensing and Robotic Surgery Using Higher Order Neural Networks / Siamak Najarian, Sayyed Mohsen Hosseini, Mehdi Fallahnezhad
  • 22. A Theoretical and Empirical Study of Functional Link Neural Networks (FLANNs) for Classification / Satchidananda Dehuri, Sung-Bae Cho.
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