Neural networks and AVO
Brian Russell, Christopher P. Ross, Larry R. Lines · The Leading Edge · 2002
In this tutorial we will discuss how a neural network can solve a simple AVO problem. In doing so, we will shed light on two important questions: Why are some neural networks only able to solve linear problems (but others can solve nonlinear problems) and how can neural networks be trained to do these tasks? The type of neural network that we will use is the multilayer perceptron (MLP), sometimes called the multilayer feed-forward network (MLFN). The AVO problem that we will train the network to address is the recognition of a class 3 anomaly on an AVO attribute plot. As we shall see, training a computer to perform tasks that are simple for a human being (that is, an interpreter) can often be quite difficult. However, if we can train a computer to systematically and objectively interpret an AVO plot, it will be worth the effort.