Transportation Electrification and Micro-grid development have raised the requirements for the DC-DC converter that performs the bus interface, the renewable energy and storage integration. The Multiple Active Bridge converter allows for the independent power transfer between its ports while keeping the electrical isolation and offering soft-switching behavior when operated with a phase-shift modulation; however, its performance is affected by the high level of coupling between the ports. In fact, the input voltage, or the phase shift of one port affects the power flow in the whole converter. This paper proposes an Artificial Neural Network (ANN) based decoupling that allows for an improved individual power regulation between the ports, considering the non-linear behavior of the system and the effects of the voltage variations.