A neural network based computational model to predict the output power of different types of photovoltaic cells - Fig 3

<p>Mono-crystalline (a), multi-crystalline (b) and amorphous crystalline (c) cells compared to experimental data using different numbers of hidden neurons (n = 3, 6, and 9).</p

The average correlation coefficients at the different number of hidden layer units in the neuron network algorithm.

<p>The average correlation coefficients at the different number of hidden layer units in the neuron network algorithm.</p

The schematic diagram of network structure.

<p>The schematic diagram of network structure.</p

The average correlation coefficients at the different number of hidden layer units in the neuron network algorithm.

<p>The average correlation coefficients at the different number of hidden layer units in the neuron network algorithm.</p