Adaptive nonlinear models (ANMs) are currently being proposed for use in ac
tuarial and financial modeling. The techniques of these models included suc
h things as neural networks and genetic algorithms. While there is a genera
l awareness of the nature of these ANM techniques, there is often only vagu
e familiarity with the details of how these techniques are implemented. Thi
s article is intended to help alleviate this situation. Its purpose is to p
resent an overview of ANM techniques, which includes an explanation of what
they are, how they work, and a description of their key features. (C) 2000
Elsevier Science B.V. All rights reserved.