FLEXIBILITY OF BOOLEAN NETWORK RESERVOIR COMPUTERS IN APPROXIMATING ARBITRARY RECURSIVE AND NON-RECURSIVE BINARY FILTERS

Flexibility of Boolean Network Reservoir Computers in Approximating Arbitrary Recursive and Non-Recursive Binary Filters

Reservoir computers (RCs) are biology-inspired computational frameworks for signal processing that are typically implemented using recurrent neural networks.Recent work has shown that Boolean networks Queen Bookcase Headboard (BN) can also be used as reservoirs.We analyze the performance of BN RCs, measuring their flexibility and identifying the fa

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Stability prediction of muddy submarine channel slope based on sub-bottom profile acoustic images and transfer learning

This research addresses the challenging task of predicting the stability of muddy submarine channel slopes, crucial for ensuring safe port operations.Traditional methods falter due to the submerged nature of these channels, impacting navigation and infrastructure maintenance.The proposed HELMETS approach integrates sub-bottom profile acoustic image

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