发明名称 |
Method and apparatus for the extraction of a subset of objects by optimizing a measure, using a neural network. |
摘要 |
A neural network includes a stage of construction for a recursive neural network from objects and relations between these objects by associating to each object the binary output of a neuron pi (t) at time t: pi (t) = 1 implies that the object belongs to a searched for sub-assembly; pi (t) = 0 implies that the object does not belong to a searched for sub-assembly. A utilisation stage of an interruption method obtains two-by-two object sub-assemblies not in or in relation and to pass from one sub-assembly to another whilst trying to improve the quality of the solution. An initialisation stage is provided for the output and the potential associated with each neuron. A dynamic recursive running stage is provided for the network. A choosing stage selects the best sub-assemblies listed by comparison with the solution quality. <IMAGE> |
申请公布号 |
EP0681246(A1) |
申请公布日期 |
1995.11.08 |
申请号 |
EP19950400960 |
申请日期 |
1995.04.27 |
申请人 |
COMMISSARIAT A L'ENERGIE ATOMIQUE |
发明人 |
HERAULT, LAURENT |
分类号 |
G06N3/04 |
主分类号 |
G06N3/04 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|