Internal connection method for neural networks

Details Internal connection method for neural networks Internal connection method for neural networks

1994-07-14

1995-04-18

Knepper, David D.

395 23, 395 24, G06F 1518

Patent

active

054085853

ABSTRACT:
A method of internal connection for neural network linking successive neuron layers and useful in image analysis and image and signal processing is provided. The neuron output states of a new neuron layer are represented by functions obtained by the method. A weighted summation of functions which represent the output state of a neuron from a preceding layer is carried out. A saturation function is applied to the result of the weighted summation. A function is outputted which is representative of the output state of the neuron layer.

REFERENCES:
patent: 4315319 (1982-02-01), White
patent: 4991092 (1991-02-01), Greensite
Fukushima K. A Neural Network for Visual Pattern Recognition FIG. 1 IEEE Mar. 1988.
J. F. Shepanski Fast Learning in Artificial Neural Systems: Multilayer Perception Training Using Optimal Estimation-IEEE Conference On Neural Network-Jul. 24-27 1988.
O. N. Mian et al, "Convergence Properties of a Pulsed Neural Network", IJCNN Int'l Joint Conf. on Neural Networks, IEEE, N.Y., vol. II, 1990 pp. 599-609.

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