A Back-Propagation Algorithm with Optimal Use of Hidden Units
–Neural Information Processing Systems
The algorithm can automatically findoptimal or nearly optimal architectures necessary to solve known Boolean functions, facilitate the interpretation of the activation of the remaining hidden units and automatically estimate the complexity of architectures appropriate for phonetic labeling problems. The general principle of the algorithm can also be adapted to different tasks: for example, it can be used to eliminate the [0, 0] local minimum of the [-1.
Neural Information Processing Systems
Dec-31-1989