Quantum type neural net

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ABSTRACT submited

BACKPROPAGATION ON A NOVEL NETWORK (NON ANN) FOR HATESPEECH DETECTION AND MORE This paper introduces a novel type of network that can accurately classify "hate speech" and differentiate it from normal content. It develops a network centered around a unique POS (part of speech) tagging type of system whose specifics are learnt by the network. Each word is assigned variables that indicate the polarity, (sign) of the effect a particular word has on every other word in a sentence, the magnitude of that polarity and also to what extent the word filters itself from the effect from other words. When choosing a set of properties, we would like to properly understand what we want the network to do. We know that both posts classified as hate speech and those not contain samples of words from a common pool (they share words). But we still want that the results for opposite classes to polarize. On top of this I believe that this represents a complex system, in that small chang...
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Generative Fractals

The theory of form is the theory of complimentary inverses. Simply put if there is something bigger than something else, then there is something smaller than something else. In fact those two things exist as a function of each other. Existence itself relies on a thing not being equal to everything else (and so everything else is not equal to it). Given these insights, when given partial information on the state of a closed system we can populate it completely. The algorithm could generate the inverse of that found information in one go , or it would segment itself in a hierarchical manner revealing more and more detail and hence customising the information being generated in the empty space. The segmentation process basically focuses on proportion. We start off with a low resolution of the given information, this reveals a few large areas that are related. The system then groups similar regions according to the nature of the segments (in images this could be the general pixel values o...
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