WebMay 3, 2024 · To address the problem of low accuracy and poor robustness of in situ testing of the compressive strength of high-performance self-compacting concrete (SCC), a genetic algorithm (GA)-optimized backpropagation neural network (BPNN) model was established to predict the compressive strength of SCC. Experiments based on two … WebLaunching in Chicago, helps us fulfill that vision and assist our professionals to be connected with like-minded individuals on a journey to create generational impact. We are on a mission to advance careers, power up businesses, and build up social capital for our members guiding them along their legacy-building goals.
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WebWant to help? We always need help - so if you'd like to join our team, please register on our volunteer page . Got a group interested in volunteering? Contact our volunteer coordinator at [email protected] or call … WebBehler-Parrinello Neural Network 1 (BPNN) is an ANN architecture developed by Jörg Behler and Micheler Parrinello. It features the description of atomic environments with the so called symmetry functions (SFs) and the usage of element specific neural network for atomic energies. Note. The symmetry functions (SFs) are defined according to the ... health promotion disease prevention
Application of BPNN optimized by chaotic adaptive gravity
WebApr 29, 2024 · This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the backpropagation (BP) neural network (BPNN), so as to expand the … WebMar 1, 2024 · The BPNN method is applicative, feasible, credible and good discriminative effect for suicide attempt. The BPNN established has significant clinical meaning for the … WebJul 8, 2024 · A novel hybrid algorithm that employs BP neural network (BPNN) and particle swarm optimization (PSO) algorithm is proposed for the kinematic parameter identification of industrial robots with an ... health promotion degree jobs