Abstract
Speed of execution is an important issue in applying an Artificial Neural Network (ANN) to any real-time problem. Adaptive Logic Networks (ALNs) are a type of ANNs, which allow the solution of pattern classification problems at very high speed based on traversal of a binary decision tree architecture. Herein, various ALN architectures were built and evaluated based on the relational approach for ALNs. The outcome was the development of an integrated intelligent classification engine (I2CE) for biosignal engineering purposes.
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