Simplified Information Maximization for Improving Generalization Performance in Multilayered Neural Networks

Table 3

Summary of the experimental results for the rebel participation data by information maximization and the method without the unsupervised information acquisition phase for the first to eighth competitive layers. The simplified information maximization and standard multilayered neural networks are represented by “SIM” and “STD,” respectively.

Method	Layer	Average	Std. dev.	Max	Min
SIM	1	0.181	0.017	0.207	0.155
	2	0.175	0.016	0.200	0.155
	3	0.180	0.016	0.205	0.150
	4	0.176	0.016	0.196	0.141
	5	0.178	0.019	0.209	0.148
	6	0.172	0.020	0.200	0.134
	7	0.179	0.012	0.200	0.155
	8	0.173	0.012	0.193	0.152
STD	1	0.189	0.016	0.218	0.166
	2	0.184	0.020	0.209	0.157
	3	0.187	0.017	0.211	0.164
	4	0.190	0.017	0.216	0.166
	5	0.214	0.025	0.264	0.180
	6	0.216	0.023	0.252	0.184
	7	0.221	0.016	0.255	0.202
	8	0.225	0.021	0.271	0.198