A high-rise residential area forced arrangement scheme generation design method based on a conditional generative adversarial network
A technology of conditional generation and residential areas, applied in biological neural network models, calculations, special data processing applications, etc., can solve the problems of lack of subjective and objective joint evaluation, insufficient precision of generated models, etc., to avoid repetition and trial and error links , improve design efficiency, and accurately judge the effect
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[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0023]The invention builds a high-rise residential area conditional generation confrontation network structure model according to the design task book; crawls the high-rise residential area map data, generates a training data set and adjusts the image size; uses an alternate iterative method to train the high-rise residential area conditional generation confrontation network, and simulates The outline picture of the planned high-rise residential are...
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