Research Article

FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting

Figure 9

SC-based two-input sigmoid neuron. The linear part uses probabilistic logic whereas the nonlinear activation function is implemented classically. The output of the linear part is multiplied by 2 (shifting the binary word one position to left) to compensate the scaled sum performed by the multiplexer.