Titlebook: Neural Computing for Advanced Applications; Second International Haijun Zhang,Zhi Yang,Tianyong Hao Conference proceedings 2021 Springer Na

Recessive

Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relatiraction models have attracted more and more attention due to the performance advantage. However, there are difficulties in identifying overlapping relations among the models. To investigate the differences of structures and performances of joint extraction models, this paper implements a list of sta

Admonish

Abnormality Detection and Identification Algorithm for High-Speed Freight Train Bodyenerally, abnormality detection and data recording are performed manually, which is very prone to cause problems such as false detections, missing detections and recording errors because of lots of freight trains passing through the station simultaneously. In order to tackle these problems, we propo

水獺

Pheromone Based Independent Reinforcement Learning for Multiagent Navigationxibility, reliability for complex problem-solving. Communication is an important factor for the multiagent world to stay organized and productive. Previously, most existing studies try to pre-define the communication protocols or adopt additional decision modules for instructing the communication sc

frozen-shoulder

A Deep Q-Learning Network Based Reinforcement Strategy for Smart City Taxi Cruisingsave the waiting time for passengers. However, drivers’ experience-based cruising strategy cannot meet the requirement. By conventional strategies, it is not easy for taxi drivers to find passengers efficiently and will also result in a waste of time and fuel. To address this problem, we construct a

compose

Weighted Average Consensus in Directed Networks of Multi-agents with Time-Varying Delaynication delay. By employing the method of linear matrix inequality and constructing a Lyapunov function, we analyze the convergence of the directed network, and get the maximum allowable upper bound of time-varying delay. Finally, the simulation of the fixed topology of multi-agent directed network

先鋒派

agenda

chandel

A Computational Model Based on Neural Network of Visual Cortex with Conceptors for Image Classificatnetworks have the disadvantage of biologically implausibility and the excessive consumption of energy because of the non-local transmission of real-valued error signals and weights. With the rapid development of theories and applications in brain science, more and more researchers are paying attenti

少量

Smoothed Multi-view Subspace Clusteringle views. However, multi-view data can be very complicated and are not easy to cluster in real-world applications. Most existing methods operate on raw data and may not obtain the optimal solution. In this work, we propose a novel multi-view clustering method named smoothed multi-view subspace clust

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