DocumentCode
3591277
Title
A two layer network using the OR/AND neuron
Author
Bailey, Sean A. ; Chen, Ye-Hwa
Author_Institution
Georgia Inst. of Technol., Atlanta, GA, USA
Volume
2
fYear
1998
Firstpage
1211
Abstract
Revisits the concept of logical connectives in neural network-based form through the use of the OR/AND neuron. One layer implementations have been achieved previously. Here, the two layer learning rules are derived by hand and implemented using Matlab. Networks of varying hidden layer complexity are then used to model the kinematics of a 3 DOF robotic arm
Keywords
learning (artificial intelligence); manipulator kinematics; multilayer perceptrons; neural net architecture; 3 DOF robotic arm; OR/AND neuron; hidden layer complexity; kinematics; logical connectives; neural network-based form; two layer learning rules; two layer network; Artificial neural networks; Backpropagation; Inspection; Kinematics; Logic; Mathematical model; Neural networks; Neurons; Robots; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.686291
Filename
686291
Link To Document