Identification of magnetic phases of weathered tuffite soil using artificial neural network

Magnetic phases of weathering tuffite soil have been identified using Mossbauer parameters (I.S., Q.S., and Hn) and artificial neural networks (ANN). Reported Mossbauer parameters were stored in a computer data bank. These parameters were used to train an ANN called counterpropagation network (CPN). The ANN identified the phases to almost 100% correctness. The identification of magnetic phases by ANN indicate that it could be an alternative method in identification of magnetic phases of soils.