Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors
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We study the expressive power of positive neural networks. The model uses positive connection weights and multiple input neurons. Different behaviors can be expressed by varying the connection weights. We show that in discrete time and in the absence of noise,... ...
