Neural Network System and Uses Thereof
First Claim
Patent Images
1. A neural network system, comprising:
- i) an input layer configured to accept N input signals;
ii) one or more “
i”
hidden layers,iii) at least one output layer;
iv) at least one neuron “
Ylayer”
within each layer, where “
layer”
is the layer defined as “
input”
, “
hiddeni”
or “
output”
; and
,v) one or more memory structures configured to;
a) store a recursive memory of input signals past, andb) allow for at least one time series prediction of a response.
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Abstract
A multifunctional neural network system for prediction which includes memory components to store previous values of data within a network. The memory components provide the system with the ability to learn relationships/patterns existent in the data over time.
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Citations
23 Claims
-
1. A neural network system, comprising:
-
i) an input layer configured to accept N input signals; ii) one or more “
i”
hidden layers,iii) at least one output layer; iv) at least one neuron “
Ylayer”
within each layer, where “
layer”
is the layer defined as “
input”
, “
hiddeni”
or “
output”
; and
,v) one or more memory structures configured to; a) store a recursive memory of input signals past, and b) allow for at least one time series prediction of a response. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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Specification