title: A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm.
abstract: The relation between the decision trees generated by a machine learning algorithm and the hidden layers of a neural network is described. A continuous ID3 algorithm is proposed that converts decision trees into hidden layers. The algorithm allows self-generation of a feedforward neural network architecture. In addition, it allows interpretation of the knowledge embedded in the generated connections and weights. A fast simulated annealing strategy, known as Cauchy training, is incorporated into the algorithm to escape from local minima. The performance of the algorithm is analyzed on spiral data.
authors.affiliation: Dept. of Electr. Eng., Toledo Univ., OH.
authors.forename: K J
authors.initials: KJ
authors.lastname: Cios
authors.forename: N
authors.initials: N
authors.lastname: Liu