<?xml version="1.0"?>
<response><type>rich</type><version>1.0</version><title>Hybrid feedforward neural network for pressure vessel internal corrosion prediction: integrating chemical models with inspection</title><provider_name>Fracture and Structural Integrity: The Podcast</provider_name><provider_url>https://ww3.fracturae.com/@fis_podcast</provider_url><author_name>Fracture and Structural Integrity: The Podcast</author_name><author_url>https://ww3.fracturae.com/@fis_podcast</author_url><thumbnail>https://ww3.fracturae.com/media/podcasts/fis_podcast/hybrid-feedforward-neural-network-for-pressure-vessel-internal-corrosion-prediction-integrating-chemical-models-with-znisd_og.jpg</thumbnail><thumbnail_width>1200</thumbnail_width><thumbnail_height>1200</thumbnail_height><html>&lt;iframe src="https://ww3.fracturae.com/@fis_podcast/episodes/hybrid-feedforward-neural-network-for-pressure-vessel-internal-corrosion-prediction-integrating-chemical-models-with-znisd/embed" width="100%" height="112" frameborder="0" scrolling="no"&gt;&lt;/iframe&gt;</html><width>485</width><height>112</height></response>
