In spite of continuing advances in optimal solution techniques for optimization and control problems, many practical combinatorial problems remain too large or too complex to be solved by these known techniques. Thus, a heuristic approach (Neural Network Model) is often the only viable alternative. Neural Network Models offer the most unified approach to building truly intelligent systems which can provide good optimal solution for many applications. In this work we propose a hybrid (Kalkoh) neural network algorithm which is being used to model and solve the continuous stirred tank mixer...

Traditionally, medical prescriptions are typically handwritten or printed on paper and hand-delivered to pharmacists. Paper-based medical prescription is generating major concerns as the incidences of prescription errors have been increasingly causing minor to serious problems to patients, including deaths. In this research, an intelligent e-prescription model that comprises a knowledge base of drug details and an inference engine that can help in decision making when writing a prescription was developed. The research implements the e-prescription model with multifactor authentication...