A feed-forward multilayer neural net is trained to learn the correspondence between seismic data and well logs. The introduction of a virtual input layer, connected to the nominal input layer through a special nonlinear transfer function, enables ultrafast (single iteration), near-optimal training of the net using numerical algebraic techniques. A unique… (More)

- Artificial neural network
- Transfer function
- Anatomic Node
- Network architecture
- Nonlinear system
- Layers
- Preprocessor
- Computation
- Iteration
- Least squares
- anatomical layer
- Sigmoid function
- Volume
- Linear system
- Relevance
- Column
- Approximation algorithm
- Algorithmic learning theory
- Antivirus software
- Interconnection
- Snowflake vitreoretinal degeneration
- Singular value decomposition
- Name
- Value
- Singular