| 摘要 |
<p>A data processing module or neural network, comprising a plurality of nodes, as well as connections between said nodes, through which connections data weighted by a weighting factor can be transmitted between the nodes, said nodes having an activation value representative of the data received. There are provides at least three types of nodes; a first type (R) adapted to receive external data and at least two of which are present; a second type (V), one of which is always paired with a node of the first type; and a third type (A, E), at least one of which is present. Each node of the first type (R) is connected through a connection with a preferably positive weighting factor (up, low) to the associated node of the second type (V) and to the node of the third type (A, E). Each node of the second type (V) is connected through a connection with a preferably negative weighting factor (flat; cross; high) to the other nodes of the second type (V), to the nodes of the first type (R) not being paired therewith, and to the node of the third type (A, E). The node of the third type (A, E) is connected through connections with a preferably positive weighting factor (strange) to the nodes of the first type.</p> |
