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您现在的位置是:虫虫源码 > Python > 一种基于自然语言编程的抽象神经网络开发的便携式引擎

一种基于自然语言编程的抽象神经网络开发的便携式引擎

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intro Cerebra is an engine for developing artificial logic networks and processing them using rules given by natural language. Employing bleeding-edge research in quantum logic (see e.g. this paper ), and optimized using mesh refinement within the spectral Julia set representing chaotic dynamics, it calculates probabilities of a massive field, rather than of single elements, subsequently applying an eigenstate method to interpret abstract, stropped compositions of grammatical elements given a user-defined "spectral" basis of elementary adjectives. This linguistic feature gives it the advantage of being able to index elements by arbitrary properties with speed nearing that of a simple O(k) array lookup. The project supports massive concurrency, via both distributed stackless python processes and Nvidia CUDA. Input is via xml files and text file

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cerebra-trunk
generative.py
map.py
quadriterate.py
cerebra.py

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