Study on Mining Big Users Data in the Development of Hubei Auto-Parts Enterprise

Wei, Rengan; Zhen, Jianguo; Bao, Lili

doi:10.18280/mmep.020401

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…Many scholars have found that generic technologies possess some characteristics of quasi-public goods, such as investment insufficiencies. Compared with the social optimum, if they only depend on the voluntary contribution of enterprises managers who are lack of altruistic cognition, they will lead to serious market failures (Dou, 2015;Wang et al, 2015;Wei et al, 2015). In the premise of fixed total investment, network structure plays an important role in voluntary supply decision of industrial generic technology R & D investment because of its social capital and technology spillover.…”

Section: Introductionmentioning

confidence: 99%

The Voluntary Supply of R&D Investment for Generic Technology Based on Managers’ Cognition of Brain

Wang

2018

Neuroquantology

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Based on the enterprise managers' cognition of brain, the network game model of R&D investment for generic technology is proposed firstly, in which enterprise utility is consisted of ego utility and network utility. The ego utility comes from the impact of the generic and private technology on enterprise itself; The network utility of enterprise comes from the spilled utility of its adjacent enterprises along the enterprise social network which is determined by the altruism of the managers' brain cognition. Then, the best response function is constructed based on managers' altruistic cognition of brain by individual decision-makers, and the Nash equilibrium is also given; Some discussions are presented including the Pareto equilibrium for social decision-making, the impact of managers' brain cognition though social network on generic technology R&D investment. Finally, some simulations have been done for two types of networks and two different brain cognition weights on network game respectively. It is found that, regardless of the existence or absence of enterprise social networks, the voluntary supply of generic technology R&D investment is not enough due to the lack of altruistic brain cognition of managers, but the social network has a positive impact on voluntary supply. It is also found that the modular structure of "small world" in the network and the network shortcut can induce managers raising awareness of altruism and the voluntary contribution to the generic technology R&D investment. The conclusions have proposed a feasible path to increasing generic technology investment though raising mangers' brain cognition.

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Section: Introductionmentioning

confidence: 99%

The Voluntary Supply of R&D Investment for Generic Technology Based on Managers’ Cognition of Brain

Wang

2018

Neuroquantology

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“…They have been applied to a wide range of tasks such as natural spoken dialog systems, vision recognition, expert systems, medical diagnosis, and genetic regulatory network inference [1][2][3][4][5][6]. With a network at hand, probabilistic inference can be performed to predict the outcome of some variables based on the observations of others [7,8].…”

Section: Introductionmentioning

confidence: 99%

Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm

Zhu

Liu

Jiang

2016

INT J COMPUT COMMUN

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Bayesian networks (BNs) are one of the most widely used class for machine learning and decision making tasks especially in uncertain domains. However, learning BN structure from data is a typical NP-hard problem. In this paper, we present a novel hybrid algorithm for BN structure learning, called MMABC. It's based on a recently introduced meta-heuristic, which has been successfully applied to solve a variety of optimization problems: Artificial Bee Colony (ABC). MMABC algorithm consists of three phases: (i) obtain an initial undirected graph by the subroutine MMPC. (ii) Generate the initial population of solutions based on the undirected graph and (iii) perform the ABC algorithm to orient the edges. We describe all the elements necessary to tackle our learning problem, and experimentally compare the performance of our algorithm with two state-of-the-art algorithms reported in the literature. Computational results demonstrate that our algorithm achieves better performance than other two related algorithms.

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“…Furthermore, in the next generation WLANs named as IEEE 802.11ax which is in process and has no draft amendment uses a number of technologies including orthogonal frequency division multiple access (OFDMA) and uplink MU-MIMO to improve the efficiency of spectrum utilization [3]. Since there is more user data in the wireless networks [4], it is no doubt that more and more advanced and mature technologies will be introduced into WLANs.…”

Section: Introductionmentioning

confidence: 99%

Interference Aware Full-Duplex MAC Protocols Design and Evaluation for the Next WLANs

Luo

Qian²,

Liu

et al. 2016

IJFGCN

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Study on Mining Big Users Data in the Development of Hubei Auto-Parts Enterprise

Cited by 5 publications

References 5 publications

The Voluntary Supply of R&D Investment for Generic Technology Based on Managers’ Cognition of Brain

The Voluntary Supply of R&D Investment for Generic Technology Based on Managers’ Cognition of Brain

Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm

Interference Aware Full-Duplex MAC Protocols Design and Evaluation for the Next WLANs

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