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Int. J. Bio Inspired Comput.最新文献

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Recognition of crop leaf diseases based on multi-feature fusion and evolutionary algorithm optimisation 基于多特征融合和进化算法优化的作物叶片病害识别
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.131826
Lixia Zhang, Kangshun Li, Yu Qi
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引用次数: 1
UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation 基于噪声组合多目标优化的无人机路径规划
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.132789
Aishwaryaprajna, T. Kirubarajan, R. Tharmarasa, J. Rowe
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引用次数: 0
Collaborative manufacturing operation mode and modelling simulation of manufacturing enterprise based on collective intelligence 基于集体智能的制造企业协同制造运作模式及建模仿真
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.132786
Weiwei Yu, Li Zhang, Ning Ge, Hang Jia, Hui Wang
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引用次数: 0
Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method 改进约束处理方法的群体智能算法在目标规划问题中的应用
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2022.10053699
Aniket Nargundkar, A. Kulkarni
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引用次数: 0
A model of the starburst amacrine cell for motion direction detection 一种用于运动方向检测的星爆无胞模型
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2022.10053950
Fenggang Yuan, Hiroyoshi Todo, Cheng Tang, Zheng Tang, Yuki Todo
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引用次数: 0
Power quality improvement for microgrid-connected PV-based converters under partial shading conditions using mixed optimisation algorithms 利用混合优化算法改进部分遮阳条件下微电网并网pv变流器的电能质量
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.131918
S. Suman, D. Chatterjee, R. Mohanty
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引用次数: 1
Adaptive surrogate-based swarm intelligence algorithm and its application in wastewater treatment processes 基于自适应代理的群体智能算法及其在污水处理过程中的应用
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.130550
Jing Jie, Rui Dai, Hui Zheng, Miao Zhang, Lu Lu
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引用次数: 1
Chinese machine reading comprehension based on deep learning neural network 基于深度学习神经网络的中文机器阅读理解
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2022.10054196
Chao Ma, Jing An, Jing Xu, BinChen Xu, Luyuan Xu, Xiang-En Bai
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引用次数: 0
Deep recurrent neural network-based Hadoop framework for COVID prediction with applications to big data in cloud computing 基于深度递归神经网络的Hadoop新冠肺炎预测框架及其在云计算大数据中的应用
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.10055199
S. Prabhu, P. Kalpana, Vijayakumar Polepally, Dattaraj J. Rao
This paper proposes a particle squirrel search optimisation-based deep recurrent neural network (PSSO-based DRNN) to predict the coronavirus epidemic (COVID). Here, the cloud-based Hadoop framework is used to perform the prediction process by involving the mapper and reducer phases. Initially, the technical indicators are extracted from the time series data. Then, the deep belief network (DBN) is employed for feature selection from the technical indicators. After that, the COVID prediction is done by the DRNN classifier trained using the PSSO algorithm. The PSSO is developed by the integration of particle swam optimisation (PSO) and squirrel search algorithm (SSA). The PSSO-based DRNN is compared with existing methods and obtained minimal MSE and RMSE of 0.0523, and 0.2287 by considering affected cases. By considering death cases, the proposed method achieved minimal MSE and RMSE of 0.0010, and 0.0323 and measured minimum MSE of 0.0049 and minimum RMSE of 0.0702 for recovered cases.
提出了一种基于粒子松鼠搜索优化的深度递归神经网络(PSSO-based DRNN)预测冠状病毒流行(COVID)。在这里,基于云的Hadoop框架通过涉及映射器和reducer阶段来执行预测过程。首先,从时间序列数据中提取技术指标。然后,利用深度信念网络(DBN)对技术指标进行特征选择。之后,使用PSSO算法训练的DRNN分类器完成COVID预测。该算法是将粒子游优化算法(PSO)与松鼠搜索算法(SSA)相结合而开发的。将基于psso的DRNN与已有方法进行比较,得到最小MSE为0.0523,考虑影响案例的RMSE为0.2287。考虑死亡病例,该方法对恢复病例的最小MSE和RMSE为0.0010,最小MSE为0.0323,实测最小MSE为0.0049,最小RMSE为0.0702。
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引用次数: 0
A hybrid algorithm for workflow scheduling in cloud environment 云环境下工作流调度的混合算法
Pub Date : 2023-01-01 DOI: 10.1504/ijbic.2023.10055212
Tingting Dong, L. Zhou, Lei Chen, Yanxing Song, Hengliang Tang, Huilin Qin
{"title":"A hybrid algorithm for workflow scheduling in cloud environment","authors":"Tingting Dong, L. Zhou, Lei Chen, Yanxing Song, Hengliang Tang, Huilin Qin","doi":"10.1504/ijbic.2023.10055212","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10055212","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82944181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
期刊
Int. J. Bio Inspired Comput.
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