Artificial Neural Network Model for Synergy Analysis of Input Markets in Ornamental Fish Trade in Mumbai

Ornamental fish trade is highly complex. The radial basis function in a single-layer neural network has been used to study the relationships related with a response variable, viz. quantity and quality in ornamental fish trade in Mumbai ornamental fish market on the basis of five predictor variables which have been identified on the basis of a preliminary survey. Among the five defined predictor variables, post production services and institutional services have emerged as most important in the determination of the volume and quality of trade in the ornamental fish in the Mumbai market. This is in sync with the current trade environments, volume and quality of ornamental fish traded in the Mumbai market.