Author(s)

S. Sayad, S. T. Balke & S. Sayad

Abstract

In this paper we present a new learning system, the "Intelligent Learning Machine" (ILM). We associate intelligence with the power to learn, forget, grow, contract, interact, and co-operate incrementally, on-line, and in real time. Intelligence in the ILM is based upon the use of a specially customized weight table. The ILM enables parallel data processing and it is well suited to a wide variety of applications and promises unprecedented performance gains in dynamic environments. Here we show how Linear and Non-linear Regression and Classification modeling methods are transformed into intelligent methods. This method has now been successfully software implemented and tested using a variety of databases. Hardware implementation of the ILM is feasible and we foresee an ILM chip for faster computations and mobile applications. Subsequent papers will sho

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