Neural networks are computer models loosely based on how the brain works by distributing knowledge across a network of neurons that are connected via adjustable weights. Such neural models can be extremely useful for pattern recognition, in that they can be trained to detect complex relationships between inputs even when the statistical distributions of those inputs is unknown. Some applications include detecting coding versus noncoding regions of a genetic sequence, detecting a malignancy in a mammogram, or classifying the type of signal sensed when listening to the ocean.
Natural Selection, Inc. often uses neural networks in combination with evolutionary computation to produce superior problem-solving software.