System and method of global optimization using artificial neural

Details System and method of global optimization using artificial neural System and method of global optimization using artificial neural

1992-10-07

1994-12-27

MacDonald, Allen R.

395 23, 395 24, G06F 1518

Patent

active

053773071

ABSTRACT:
A method of global optimization of complex, highly nonlinear, multivariant systems is described. An artificial neural network (ANN) is trained to create an approximate inverse model. The desired behavior for a particular system is then input to the inverse model to derive approximate model parameters for the particular system. Optimization of the approximate model parameters yields optimal model parameters. The method is applied to the synthesis of mechanical linkages where examples of a type of linkage mechanism are used to train an ANN and derive the approximate inverse model. Inverse models for a number of linkage mechanism types are derived and stored. For a linkage mechanism with unknown linkage parameters, a power spectrum representation of the coupler curve is developed and the inverse model for the type of linkage mechanism retrieved. The representation of the desired coupler curve is input and the approximate linkage parameters derived. Optimization further refines the linkage parameters.

REFERENCES:
patent: 4633411 (1986-12-01), Bliss et al.
patent: 4747143 (1988-05-01), Kroeger et al.
patent: 4990838 (1991-02-01), Kawato et al.
patent: 5043929 (1991-08-01), Kramer et al.
patent: 5050096 (1991-09-01), Seidman
patent: 5057992 (1991-10-01), Traiger
patent: 5107442 (1992-04-01), Weideman
patent: 5113483 (1992-05-01), Keeler et al.
patent: 5119468 (1992-06-01), Owens
patent: 5129040 (1992-07-01), Hanazato et al.
patent: 5134685 (1992-07-01), Rosenbluth
Neural Networks for Learning Inverse-Kinematics of Redundant Manipulators 14-16 Aug. 1989 IEEE, F. Pourboghrat.
6D.O.F. Manipulators Absolute Positioning Accuracy Improvement Using a Neural Network IEEE, 3-6 Jul. 1990 N-Takanashi.
Solution to the Inverse Kinematics Problem in Robotics by Neural Networks IEEE, 24-27 Jul. 1988 A. Guez.
Automatic Translation of Constraints for Solving Optimization Problems by Neural Networks IEEE 17-21 Jun. 1990 C. Gaspin.
An Adaptive Least Squares Algorithm to the Efficient Training of Artificial Neural Networks IEEE/Aug. 8, 1989 S. Kollas et al.

Affiliated with

Also associated with

Rating

System and method of global optimization using artificial neural does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method of global optimization using artificial neural, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method of global optimization using artificial neural will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-925000