Multifunctional 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, and b) 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
178 Claims
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1. A neural network system, comprising:
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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, 10, 12, 14, 16, 17, 19, 20, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 63, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 178)
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53. A method for intelligent therapy recommendation/semi-closed loop insulin/medication infusion, comprising:
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providing a prediction of glucose levels in a subject, and determining one or more of;
insulin/medication dosage administration, outcomes pertinent thereto and/or intelligent therapy guidance, in an integrated manner.
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54. A system for forecasting one or more of:
- elevated glucose levels and/or lack of optimal glycemic control, in a subject in need thereof, comprising;
i) providing an input layer designed to accept N input signals, wherein the input signal comprises one or more of glucose and/or insulin levels in the subject; ii) providing one or more “
i”
hidden layers,iii) providing an output layer; iv) providing at least one neuron “
Ylayer”
within each layer, where “
layer”
is the layer defined as “
input”
, “
hidden,”
or “
output”
;v) providing 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; andvi) forecasting one or more of;
elevated glucose levels and/or lack of optimal glycemic control. - View Dependent Claims (55, 56)
- elevated glucose levels and/or lack of optimal glycemic control, in a subject in need thereof, comprising;
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Specification