Input Feedback Networks: Classification and Inference Based on Network Structure

Tsvi Achler, Eyal Amir · 2008

We present a mathematical model of interacting neuron-like units that we call Input Feedback Networks (IFN). Our model is motivated by a new approach to biological neural networks, which contrasts with current approaches (e.g. Layered Neural Networks, Perceptron, etc.). Classification and reasoning in IFN are

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