Researchers combined core-shell rubber particles with ZnO nanoparticles to develop tougher, more heat-resistant epoxy ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Furthermore, our method is generalizable, which can be applied to various network structures, such as multilayer perceptron (MLP), convolutional neural networks (CNNs), recurrent neural networks (RNNs ...

This chapter discusses the working of artificial neural network (ANN) with single layer perceptron and multilayer perceptron along with example dataset. Also traditional linear regression and logistic ...

SARPLLM leverages large language modeling and quantum algorithms to predict Salmonella AMR, offering robust analysis and user ...

This project aims to select optimal NFL team players from a pool of active and retired players using a Multi-Layer Perceptron (MLP) Artificial Neural Network. The players are evaluated across various ...

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