FIELD: modular neuro-computing systems.
SUBSTANCE: neuron network contains input layer of neurons, at inputs of which residuals of number being divided are received through system of modules, (n-1) neuron networks of finite ring for addition, (n-1) neuron networks of finite ring for multiplication, neuron network for expanding a tuple of numerical system of residues, and as output of neuron network for dividing numbers represented in system of residual classes are outputs of neuron network of finite ring for multiplication and output of neuron network for expansion of tuple of numerical system of residues.
EFFECT: expanded functional capabilities, increased speed of division, reduced volume of equipment.
1 dwg
| Title | Year | Author | Number |
|---|---|---|---|
| NEURON NETWORK FOR DIVIDING NUMBERS, REPRESENTED IN REMAINDER CLASS SYSTEM | 2005 |
|
RU2305312C2 |
| NEURON NETWORK FOR BROADENING TUPLE OF NUMERIC SUBTRACTIONS SYSTEM | 2003 |
|
RU2256226C2 |
| DEVICE FOR PRIMARY DIVISION OF MOLECULAR NUMBERS IN FORMAT OF REMAINDER CLASS SYSTEM | 2013 |
|
RU2559772C2 |
| NEURON NETWORK OF ACCELERATED RANGING OF MODULAR NUMBERS | 2007 |
|
RU2359325C2 |
| NEURAL NETWORK WITH THRESHOLD (k, t) STRUCTURE FOR RESIDUAL CODE - BINARY POSITION CODE CONVERSION | 2008 |
|
RU2380751C1 |
| NEUTRON NETWORK FOR MAIN DIVISION OF MODULAR NUMBERS | 2008 |
|
RU2400813C2 |
| NEURON NETWORK FOR TRANSFORMATION OF RESIDUAL CODE TO BINARY POSITIONAL CODE | 2006 |
|
RU2318238C1 |
| DEVICE FOR PRIMARY DIVISION OF MOLECULAR NUMBERS | 2013 |
|
RU2559771C2 |
| NEURON NETWORK FOR CALCULATING POSITION CHARACTERISTICS OF NON-POSITIONAL CODE | 2003 |
|
RU2257615C2 |
| NEURON NETWORK FOR CONVERSION OF POLYADIC CODE TO REMAINDER CLASSES SYSTEM CODE | 2003 |
|
RU2258257C2 |
