Figure 4.
The diagram depicts a neural network architecture featuring three layers: the input layer on the left consists of eight parameters including H A R H A, Liquid Limit, Plastic Limit, Plasticity Index, Optimum Moisture Content, Clay Content, and Maximum Dry Density. These input nodes connect through numerous lines to the hidden layer, which contains six yellow circles representing hidden units. The connections demonstrate how inputs influence the hidden layer. The output layer on the right features a single output node labeled California Bearing Ratio, showcasing the final result of the neural network's computations.Artificial neural network mechanisms