| 摘要 |
<p>A pattern propagation neural network (3) is trained by presenting a desired output (22) to inner neurons (16) as well as output neurons (14). Weighted connections (18) between the neurons (12, 14, 16) are adapted during training to reduce the difference between the desired output (22) and the actual output of inner (16) and output (14) neurons. The training method employed by the pattern propagation neural network (3) reduces the required training time and improves the ability of the network (30) to solve problems.</p> |
