FIELD: neuro-cybernetics, possible use as functional unit for various artificial neuron networks.
SUBSTANCE: device has two inputs, signals from which are multiplied with appropriate weight coefficients and are sent to adder, total outputted by which is further transformed in activation block by modular activation function, and then by threshold function at the output of neuron.
EFFECT: prevented problem of impossible realization of logical nonequivalence function by known neuron models.
7 dwg, 1 tbl
| Title | Year | Author | Number |
|---|---|---|---|
| METHOD FOR REALIZING LOGICAL NONEQUIVALENCE FUNCTION BY A NEURON | 2006 |
|
RU2308758C1 |
| NEURON SIMULATION METHOD | 2009 |
|
RU2402813C1 |
| CONTROL METHOD OF NEUROPROCESSOR RESPONSE TO INPUT SIGNALS | 2018 |
|
RU2724784C2 |
| METHOD OF NOISE-IMMUNE GRADIENT DETECTION OF CONTOURS OF OBJECTS ON DIGITAL IMAGES | 2008 |
|
RU2360289C1 |
| MULTI-INPUT ADDER BY MODULE TWO | 2015 |
|
RU2614370C1 |
| NEURAL NETWORK-BASED NEURAL NETWORK CONSTRUCTION WITH FUNCTIONAL TRANSFORMATION OF ARBITRARY TYPE FOR INPUT SIGNALS | 2018 |
|
RU2727080C2 |
| METHOD OF NEURAL NETWORK FORECASTING OF CHANGE OF VALUES OF FUNCTION WITH ITS COMPLEMENTARY WAVELET PROCESSING AND DEVICE FOR ITS IMPLEMENTATION | 2015 |
|
RU2600099C1 |
| METHOD AND DEVICE FOR AUTOMATIC RECOGNITION OF RADIO SIGNAL MANIPULATION TYPE | 2017 |
|
RU2665235C1 |
| METHOD FOR NOISELESS GRADIENT SELECTION OF OBJECT CONTOURS ON DIGITAL IMAGES | 2015 |
|
RU2589301C1 |
| SINGLE-LAYER PERCEPTRON BASED ON SELECTIVE NEURONS | 2015 |
|
RU2597497C2 |
