Features original papers on backpropagation, the most widely used algorithm in the artificial neural network field. Numerous examples of applications and theorems demonstrate how to calculate relevant derivatives at an acceptable cost. Reviews the latest developments in the neural network arena. Includes a tutorial on the methods commonly used to predict or optimize dynamic systems and an article describing more advanced concepts which may permit a truer understanding of intelligence as it exists in the human mind.