FIELD: computer science, in particular, modular neuron-computer means.
SUBSTANCE: network has input layer of neurons, neuron network of end ring for determining number rank, neuron network of end ring for calculating remainder at base n+1, n-neuron networks of end ring for calculating scaled number, neuron network for calculating difference in numbers between input remainders and base remainder.
EFFECT: decreased volume of equipment, increased speed of numbers rounding and expanded functional capabilities.
1 dwg
| Title | Year | Author | Number |
|---|---|---|---|
| NEURON NETWORK OF ACCELERATED RANGING OF MODULAR NUMBERS | 2007 |
|
RU2359325C2 |
| NEURON NETWORK FOR DIVIDING NUMBERS, REPRESENTED IN REMAINDER CLASS SYSTEM | 2005 |
|
RU2305312C2 |
| NEURON NETWORK FOR DIVIDING NUMBERS WHICH ARE REPRESENTED IN A SYSTEM OF RESIDUAL CLASSES | 2006 |
|
RU2318239C1 |
| NEURON NETWORK FOR CALCULATING POSITIONAL CHARACTERISTIC RANK OF NUMBER, REPRESENTED IN REMAINDER CLASSES SYSTEM | 2003 |
|
RU2271569C2 |
| NEURON NETWORK FOR FINDING, LOCALIZING AND CORRECTING ERRORS IN RESIDUAL CLASSES SYSTEM | 2005 |
|
RU2301442C2 |
| NEURON NETWORK FOR TRANSFORMATION OF RESIDUAL CODE TO BINARY POSITIONAL CODE | 2006 |
|
RU2318238C1 |
| NEURON NETWORK FOR CONVERSION OF POLYADIC CODE TO REMAINDER CLASSES SYSTEM CODE | 2003 |
|
RU2258257C2 |
| 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 BROADENING TUPLE OF NUMERIC SUBTRACTIONS SYSTEM | 2003 |
|
RU2256226C2 |
