Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System

Figure 8

Results of feature classification and instruction learning/additional learning using PL-G-SOM. The sizes of maps grew to $11\times 15$ (165 units) when they began with $5\times 5$ (25 units) in the experiment.

(a) Feature Map of PL-G-SOM ($t=1200$)

(b) Action Map of PL-G-SOM ($t=1200$)