A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training

Table 1

The characteristics of the ten datasets used.

Dataset	Number of
	Discrete Attributes	Continuous Attributes	Classes	Samples
Lymphography	18	0	4	148
Iris	0	4	3	150
Wine	0	13	3	178
Glass	0	9	6	214
Shuttle-landing	6	0	2	253
Ionosphere	0	33	2	351
Balance-scale	4	0	3	625
Breast cancer	0	9	2	699
Diabetes	0	8	2	768
Thyroid	0	21	3	7200