Fig. 1: Schematic displaying the architecture of our model.
From: Implementing the analogous neural network using chaotic strange attractors
Input data is preprocessed and encoded as initial voltages for the circuit performing analog computation of Lorenz attractor. a Displays the chaotic reservoir. b Displays the chaotic transformation applied by the circuit. After the chaotic transformation of data, output voltages are transferred to a processing device as reservoir output. Via the device, the last layer is performed, mainly ridge regression and classification, completing the learning process.
