Structure-adaptable neurocontrollers: A hardware-friendly approach-Reference-Cited by-同舟云学术

Structure-adaptable neurocontrollers: A hardware-friendly approach

Published:1997 Issue: Volume: Page:1251-1259
ISSN:0302-9743
Container-title:Biological and Artificial Computation: From Neuroscience to Technology
language:
Short-container-title:

Author:

Pérez-Uribe Andrés,Sanchez Eduardo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0032585

Reference24 articles.

1. A. E. Alpaydin. Neural Models of Incremental Supervised and Unsupervised Learning. PhD thesis, Swiss Federal Institute of Technology, Lausanne, 1990. These 863.

2. E. Alpaydin. GAL:networks that grow when they learn and shrink when they forget. Technical Report TR-91-032, Int. Computer Science Institute, Berkeley, CA, 1991.

3. K. Balakrishnan. Evolutionary design of neural architectures — a preliminary taxonomy and guide to literature. Technical Report CS-TR-95-01, Department of Computer Science, Iowa State University, Ames, USA, Jan. 1995.

4. A. Barto, R. Sutton, and C. Anderson. Pole-balancing simulator and controller. http://envy.cs.umass.edu/People/sutton/RL-software.html.

5. A. Barto, R. Sutton, and C. Anderson. Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Transactions on Systems, Man and Cybernetics, 13(5):834–846, 1983.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hardware implementation of an active learning self-organizing neural network to predict the power fluctuation events of a photovoltaic grid-tied system;Microprocessors and Microsystems;2022-04

2. Hardware spiking neural network prototyping and application;Genetic Programming and Evolvable Machines;2011-04-02

3. Approaching evolvable hardware to reality: The role of dynamic reconfiguration and virtual meso-structures;Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems