Computational Verb Neural Networks

When any attribute value in a conventional neuralnetwork is verbified, the result is a computational verb neuralnetwork(VNN). We can verbify inputs, outputs, biases, weightsand many other attributes of conventional neural networks. Inthis paper, we reported two types of VNNs. The first one consistsof computational verb inputs and numerical output. The secondone consists of computational verb inputs and outputs. Thelearning algorithms for both types of VNNs were provided. Theexistence of solutions and continuities of single-layer feedforwardtype-I VNN were studied.