Method and system for training a recurrent network

Details Method and system for training a recurrent network Method and system for training a recurrent network

2005-11-08

2005-11-08

Khatri, Anil (Department: 2121)

Data processing: artificial intelligence

Neural network

Structure

C706S015000, C706S026000

Reexamination Certificate

active

06963862

ABSTRACT:
A method for training a recurrent network represented by x(k+1)=f(W x(k)), where W is a weight matrix, x is the output of the network, and K is a time index includes (a) determining the weight matrix at a first time increment, (b) incrementing the time increment associated with a received data point, and (c) determining a change in the weight matrix at the incremented time interval according to the formula:Δ⁢ ⁢W⁡(K)=Δ⁢ ⁢W⁡(K-1)+η⁢ ⁢γ⁡(K)⁢xT⁡(K-1)⁢ ⁢V-1⁡(K-1)-B⁡(K-1)⁢ ⁢V-1⁡(K-1)⁢ ⁢x⁢ ⁢(K-1)⁡[V-1⁡(K-1)⁢ ⁢x⁢ ⁢(K-1)]T1+xT⁡(K-1)⁢ ⁢V-1⁡(K-1)⁢ ⁢x⁢ ⁢(K-1)

REFERENCES:
Kishan Mehrotra, Artificial Neural Networks, 1997, MIT, p 138.

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