A method of operating a neural network for ecological and biological system
modeling having a plurality of hidden layer neurons said method
comprising: a plurality of network inputs and at least one network output,
said plurality of neurons, each receiving a plurality of inputs applied to
the network, reproduces the network using a regression model, and compares
the output values with given target values, and using the comparison and
goodness of fit to set the learning rules. The network does not require
repetitive training and yields a global minimum for each given set of
input variables.