Introduction: Underwater acoustic (UWA) communication systems confront significant challenges due to the unique, dynamic, and unpredictable nature of acoustic channels, which are impacted by low ...

卷积神经网络可以有效地处理空间信息，那么本章的循环神经网络（recurrent neural network， RNN）则可以更好地处理序列信息。循环神经网络通过引入状态变量存储过去的信息和当前的输入，从而可 以确定当前的输出。 《动手学深度学习》这本书的 第8章 “循环 ...

Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...

Abstract: Wireless Sensor Network (WSN) comprises of a larger quantity of sensor nodes to obtain and transfer data to the base station. Nevertheless, resource-controlled nodes, utilization approaches, ...

This repository contains the official implementation for the paper "Evolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks." The code implements a framework for evolving ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Abstract: Since recurrent neural networks (RNNs) were firstly proposed, it is widely used, and many extended RNNs algorithms have been developed, which achieve good results in many application fields.

Most linguists believe that language is hierarchically structured. Understanding and producing language would imply an acquired competence for nested tree structures governing how smaller constituents ...