Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptive Version: A Critique Based on Experimental Studies

Figure 17

Classification capability of OPNN and APNN with six types of feature inputs with 4- and 5-types of overlapped patterns—with LVQ clustering algorithms (in the histogram dotted, chequered blocks refer to 4- and 5-type inputs to PNN; striped and brick blocks refer to 4- and 5-type inputs to APNN).