Output layer

Input layer Hidden layer Output layer... 

Input variables Hidden layer Output variable... 

Input Layer Hidden Layer Output Layer... 

Input Ridden tpyer Output Layer Output... 

Input Units Hidden Layer Output Neurons... 

FIGURE 4.15 Scheme of a multilayer Kohonen network including input layer, output layer, and a topological map layer for classification of input data. The dimension of input and output vectors is equal to the dimension of the corresponding neurons in the network. 

The first of our preliminary results we demonstrate here is mass sensitivity. To do this we use a polyelectrolyte multilayer layer-by-layer deposition technique. Briefly, multilayers of polyethyleneimine and polyacrylic acid were deposited on the glutaraldehyde functionalized NOSA device, and on similarly functionalized silicon wafers in parallel. After deposition of each layer, output spectra were recorded to quantify shift in resonant wavelengths and polyelectrolyte multilayer film thickness was determined on silicon wafers using ellipsometry. Output spectra were compared to the initial baseline spectra to determine resonance shift (AA, in mn), and were plotted against film thickness as shown in Fig. 2. 

STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS input layer hidden layer output layer... 

Determine the hidden layer output matrix H using (15). 

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