New example "Battery State of Charge Estimation Using Monotonic Neural Networks" added in BatteryStateOfChargeEstimationUsingMonotonicNeuralNetworks.md
This example shows how to train two monotonic neural networks to estimate the state of charge (SOC) of a battery, one to model the charging behavior, and one to model the discharging behavior. In this example, you train the networks to predict the rate of change of the state of charge and force the output to be positive or negative for the charging and discharging networks, respectively. This way, you enforce monotonicity of the battery state of charge by constraining its derivative to be positive or negative.