Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...

Neural networks have the potential of accurately describing the behavior of extremely complex systems such as being encountered in decentralized logistics. Learned feed-forward is a great way to reduce dynamic tracking error of a feedback based decentralized logistics control system in those...

Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...