FIELD: computer engineering, possible use in modular neuro-computer systems.
SUBSTANCE: in accordance to invention, neuron network contains input layer, neuron nets of finite ring for determining errors syndrome, memory block for storing constants, neuron nets for computing correct result and OR element for determining whether an error is present.
EFFECT: increased error correction speed, decreased amount of equipment, expanded functional capabilities.
1 dwg, 3 tbl
| Title | Year | Author | Number |
|---|---|---|---|
| NEURON NETWORK FOR DIVIDING NUMBERS, REPRESENTED IN REMAINDER CLASS SYSTEM | 2005 |
|
RU2305312C2 |
| NEURON NETWORK FOR DETECTION OF ERRORS IN SYMMETRICAL SYSTEM OF RESIDUAL CLASSES | 2007 |
|
RU2374678C2 |
| 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 |
| APPARATUS FOR DETECTING DYNAMIC RANGE OVERFLOW, DETERMINING ERROR AND LOCALISATION OF COMPUTATION CHANNEL FAULTS IN COMPUTERS OPERATING IN RESIDUE NUMBER SYSTEM | 2011 |
|
RU2483346C1 |
| ADAPTIVE PARALLEL-CONVEYOR NEUTRON NETWORK FOR CORRECTION OF ERRORS | 2003 |
|
RU2279131C2 |
| NEURON NETWORK FOR BROADENING TUPLE OF NUMERIC SUBTRACTIONS SYSTEM | 2003 |
|
RU2256226C2 |
| NEURON NETWORK FOR CALCULATING POSITIONAL CHARACTERISTIC RANK OF NUMBER, REPRESENTED IN REMAINDER CLASSES SYSTEM | 2003 |
|
RU2271569C2 |
| DEVICE FOR DETERMINING SIGN OF MODULAR NUMBER | 2011 |
|
RU2503995C2 |
| NEURON NETWORK FOR TRANSFORMATION OF RESIDUAL CODE TO BINARY POSITIONAL CODE | 2006 |
|
RU2318238C1 |
