MX2016011438A - Red neural y metodo de entrenamiento de red neural. - Google Patents

Red neural y metodo de entrenamiento de red neural.

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Publication number
MX2016011438A
MX2016011438A MX2016011438A MX2016011438A MX2016011438A MX 2016011438 A MX2016011438 A MX 2016011438A MX 2016011438 A MX2016011438 A MX 2016011438A MX 2016011438 A MX2016011438 A MX 2016011438A MX 2016011438 A MX2016011438 A MX 2016011438A
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MX
Mexico
Prior art keywords
neural network
neuron
inputs
corrective weights
network
Prior art date
Application number
MX2016011438A
Other languages
English (en)
Other versions
MX357374B (es
Inventor
Pescianschi Dmitri
Original Assignee
Progress Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Progress Inc filed Critical Progress Inc
Publication of MX2016011438A publication Critical patent/MX2016011438A/es
Publication of MX357374B publication Critical patent/MX357374B/es

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent

Abstract

La presente invención se refiere a unna red neuronal que incluye una pluralidad de entradas para recibir señales de entrada, y sinapsis conectadas a las entradas y que tienen ponderaciones correctivas. La red incluye además distribuidores. Cada distribuidor se conecta a una de las entradas para recibir la respectiva señal de entrada y selecciona uno o más ponderaciones correctivas en correlación con el valor de entrada. La red también incluye neuronas. Cada neurona tiene una salida conectada con al menos una de las entradas a través de una sinapsis y genera una suma de neuronas sumando las ponderaciones correctivas seleccionadas de cada sinapsis conectada a la respectiva neurona. Además, la red incluye una calculadora de corrección de ponderación que recibe una señal de salida deseada, determina una desviación de la suma de neuronas del valor de la señal de salida deseada, y modifica las respectivas ponderaciones correctivas utilizando la desviación determinada. La adición de las ponderaciones correctivas modificadas para determinar la suma de neuronas minimiza la desviación objeto para el entrenamiento de la red neuronal.
MX2016011438A 2014-03-06 2015-03-06 Red neuronal y metodo de entrenamiento de red neuronal. MX357374B (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201461949210P 2014-03-06 2014-03-06
US201562106389P 2015-01-22 2015-01-22
PCT/US2015/019236 WO2015134900A1 (en) 2014-03-06 2015-03-06 Neural network and method of neural network training

Publications (2)

Publication Number Publication Date
MX2016011438A true MX2016011438A (es) 2017-04-06
MX357374B MX357374B (es) 2018-07-04

Family

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Family Applications (1)

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MX2016011438A MX357374B (es) 2014-03-06 2015-03-06 Red neuronal y metodo de entrenamiento de red neuronal.

Country Status (14)

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US (1) US9390373B2 (es)
EP (1) EP3114540B1 (es)
JP (1) JP6382354B2 (es)
KR (1) KR102166105B1 (es)
CN (1) CN106104406B (es)
AU (1) AU2015226983A1 (es)
CA (1) CA2941352C (es)
DK (1) DK3114540T3 (es)
EA (1) EA035114B1 (es)
ES (1) ES2864149T3 (es)
IL (1) IL247533B (es)
MX (1) MX357374B (es)
SG (1) SG11201608265XA (es)
WO (1) WO2015134900A1 (es)

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Also Published As

Publication number Publication date
JP2017511948A (ja) 2017-04-27
CA2941352A1 (en) 2015-09-11
US9390373B2 (en) 2016-07-12
EA201600637A1 (ru) 2016-12-30
KR102166105B1 (ko) 2020-10-16
US20160012330A1 (en) 2016-01-14
CA2941352C (en) 2022-09-20
JP6382354B2 (ja) 2018-08-29
AU2015226983A1 (en) 2016-10-06
EP3114540B1 (en) 2021-03-03
IL247533A0 (en) 2016-11-30
EP3114540A4 (en) 2017-11-08
KR20160131071A (ko) 2016-11-15
SG11201608265XA (en) 2016-11-29
EA035114B1 (ru) 2020-04-29
MX357374B (es) 2018-07-04
IL247533B (en) 2019-06-30
EP3114540A1 (en) 2017-01-11
CN106104406B (zh) 2018-05-08
WO2015134900A1 (en) 2015-09-11
CN106104406A (zh) 2016-11-09
ES2864149T3 (es) 2021-10-13
DK3114540T3 (da) 2021-04-19

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