1. A scalable system for real-time location determination of at least one object by a plurality of sub-networks of interrelated neural networks comprising: at least one transmitting tag associated with each said at least one object; a plurality of a priori defined interrelated location classifier sub-networks of said interrelated neural networks comprising location classifier receivers; said location classifier receivers configured to receive at least one transmission from said at least one transmitting tag; wherein said system is configured to engage only one of said plurality of sub-networks of said interrelated neural networks to output a location of said at least one object; whereby scaling of said system is achieved by engaging only one sub-network of said interrelated neural networks of said plurality of sub-networks of said interrelated neural networks to output said location for each of said at least one objects; wherein said system is configured to select said engaged sub-network of said interrelated neural networks having a greatest number of said location classifier receivers receiving at least one transmission from said at least one transmitting tag; and said at least one transmitting tag is configured to receive at least one signal from at least one router/base station/access point.