中国机械工程学会生产工程分会知识服务平台

期刊


ISSN0941-0643
刊名Neural Computing and Applications
参考译名神经网络计算与应用
收藏年代2002～2023



全部

2002 2003 2004 2005 2006 2007
2008 2009 2010 2011 2012 2013
2014 2015 2016 2017 2018 2019
2020 2021 2022 2023

2017, vol.28, no.1 2017, vol.28, no.10 2017, vol.28, no.11 2017, vol.28, no.12 2017, vol.28, no.2 2017, vol.28, no.3
2017, vol.28, no.4 2017, vol.28, no.5 2017, vol.28, no.6 2017, vol.28, no.7 2017, vol.28, no.8 2017, vol.28, no.9

题名作者出版年年卷期
Explicit guiding auto-encoders for learning meaningful representationMao, Hua; Sang, Yongsheng; Yi, Zhang; Sun, Yanan20172017, vol.28, no.3
Incorporating global search capability of a genetic algorithm into neural computing to model seismic records and soil test dataKerh, Tienfuan; Su, Yu-Hsiang; Mosallam, Ayman20172017, vol.28, no.3
Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with Markovian jumping and mixed delays using multiple integral approachRakkiyappan, R.; Dharani, S.20172017, vol.28, no.3
Hybridization of harmony search with hill climbing for highly constrained nurse rostering problemAwadallah, Mohammed A.; Al-Betar, Mohammed Azmi; Khader, Ahamad Tajudin; Bolaji, Asaju La'aro; Alkoffash, Mahmud20172017, vol.28, no.3
Large-scale image recognition based on parallel kernel supervised and semi-supervised subspace learningWu, Fei; Jing, Xiao-Yuan; Liu, Qian; Wu, Song-Song; He, Guo-Liang20172017, vol.28, no.3
A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP)Fallahpour, Alireza; Olugu, Ezutah Udoncy; Musa, Siti Nurmaya20172017, vol.28, no.3
Machine learning use in predicting interior spruce wood density utilizing progeny test informationAvramidis, Stavros; El-Kassaby, Yousry A.; Demertzis, Kostantinos; Iliadis, Lazaros20172017, vol.28, no.3
Using mixture design and neural networks to build stock selection decision support systemsLiu, Yi-Cheng; Yeh, I-Cheng20172017, vol.28, no.3
A two-step artificial bee colony algorithm for clusteringKumar, Yugal; Sahoo, G.20172017, vol.28, no.3
An artificial neural network model for predicting the CO2 reactivity of carbon anodes used in the primary aluminum productionBhattacharyay, Dipankar; Kocaefe, Duygu; Kocaefe, Yasar; Morais, Brigitte20172017, vol.28, no.3
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