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Generative Grammar
Frontiers in Physics • Vol 13
Research on noise prediction methods for sound barriers based on the integration of conditional generative adversarial networks and numerical methods
2025
This study proposes a novel approach utilizing Conditional Generative Adversarial Networks (CGANs) to accelerate wideband acoustic state analysis, addressing the computational challenges in traditional Boundary Element Method (BEM) approaches. Traditional BEM…
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Generative Grammar

Theory in linguistics

Generative grammar , or generativism , is a linguistic theory that regards linguistics as the study of a hypothesised innate grammatical structure. It is a biological or biologistic modification of earlier structuralist theories of linguistics, deriving from logical syntax and glossematics. Generative grammar considers grammar as a system of rules that generates exactly those combinations of words that form grammatical sentences in a given language. It is a system of explicit rules that may apply repeatedly to generate an indefinite number of sentences which can be as long as one wants them to be. The difference from structural and functional models is that the object is base-generated within the verb phrase in generative grammar.

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Frontiers in Physics • Vol 13
Research on noise prediction methods for sound barriers based on the integration of conditional generative adversarial networks and numerical methods
2025
This study proposes a novel approach utilizing Conditional Generative Adversarial Networks (CGANs) to accelerate wideband acoustic state analysis, addressing the computational challenges in traditional Boundary Element Method (BEM) approaches. Traditional BEM-based acoustic analysis requires repeated computation of frequency-dependent system matrices across multiple frequencies, leading to significant computational costs. The asymmetry and full-rank nature of the BEM coefficient matrices further increase computati…
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Computer Science
Generative Adversarial Network
Sound (Geography)
Artificial Intelligence
Acoustics
Deep Learning
Physics