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Financing high-tech projects always entails a great deal of risk. The lack ofa systematic method to pinpoint the risk of such projects has been recognizedas one of the most salient barriers for evaluating them. So, in order todevelop a mechanism for evaluating high-tech projects, an Artificial NeuralNetwork (ANN) has been developed through this study. The structure of thispaper encompasses four parts. The first part deals with introducing paper'swhole body. The second part gives a literature review. The collection processof risk related variables and the process of developing a Risk Assessment Indexsystem (RAIS) through Principal Component Analysis (PCA) are those issues thatare discussed in the third part. The fourth part particularly deals withpharmaceutical industry. Finally, the fifth part has focused on developing anANN for pattern recognition of failure or success of high-tech projects.Analysis of model's results and a final conclusion are also presented in thispart.

A Neural Network Model for Determining the Success or Failure of High-tech Projects Development: A Case of Pharmaceutical industry