This document proposes a neuro-fuzzy based approach for efficient vertical handover management in LTE cellular networks. It discusses how single criteria handover decisions can cause inefficient handovers. It then describes a neuro-fuzzy system that uses fuzzy logic and neural networks to make multi-criteria handover decisions based on parameters like RSS, network load, bandwidth, and jitter. The system collects input values, evaluates them using fuzzy rules, aggregates the outputs, and selects the best network. Simulation results show that this approach can improve handover performance and QoS in heterogeneous wireless networks.