Investigating Predictability of Cultural Lifestyles Based On Cultural Consumption and Capital Forms Using Artificial Neural Network

BIZHAN ZARE; HAMID AVARZAMANI; HAMIDEH SAFAEI NABAT

首页> 外文期刊>Science and Culture >Investigating Predictability of Cultural Lifestyles Based On Cultural Consumption and Capital Forms Using Artificial Neural Network

【24h】

Investigating Predictability of Cultural Lifestyles Based On Cultural Consumption and Capital Forms Using Artificial Neural Network

机译：利用人工神经网络研究基于文化消费和资本形式的文化生活方式的可预测性

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper we aim to investigate the predictability of the cultural lifestyle according to cultural consumption patterns (lowbrow, omnivore, highbrow) and capital forms (economic, cultural and social). Bourdieu's theory was used as theoretical framework. Participants are 400 citizens aged over 18 years living in Tehran, Iran. To predict cultural lifestyle of citizens, we modelled a multilayer perceptron model of artificial neural network in MATLAB. Our results supported the hypothesis that ANN can predict cultural lifestyle of citizens with accuracy higher than 90%. Also we found out that the amount of capital used by Tehrani citizens and their cultural consumption rate was in average level.

机译：在本文中，我们旨在根据文化消费模式（低眉，杂食，高眉）和资本形式（经济，文化和社会）调查文化生活方式的可预测性。布迪厄的理论被用作理论框架。参加者是居住在伊朗德黑兰的400岁以上18岁以上的公民。为了预测公民的文化生活方式，我们在MATLAB中对人工神经网络的多层感知器模型进行了建模。我们的结果支持以下假设：人工神经网络可以预测公民的文化生活方式，其准确性高于90％。我们还发现，Tehrani公民使用的资本数量及其文化消费率处于平均水平。

著录项

来源
《Science and Culture》 |2016年第8期|261-266|共6页
作者
BIZHAN ZARE; HAMID AVARZAMANI; HAMIDEH SAFAEI NABAT;
展开▼
作者单位

Kharazmi University, Tehran, Iran;

Kharazmi University, Tehran, Iran;

Kharazmi University, Tehran, Iran;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Bourdieu's theory; artificial neural network; ANN; cultural lifestyle; cultural consumption; capital; Iran; society;

机译：布迪厄的理论;人工神经网络;人工神经网络文化生活方式;文化消费;首都;伊朗;社会;

相似文献

外文文献
中文文献
专利

1. Development of cultural tourism platform based on FPGA and convolutional neural network [J] . Yin Xinzhe, Li Jinghua Microprocessors and microsystems . 2021,第Feba期

机译：基于FPGA和卷积神经网络的文化旅游平台发展
2. Research on Convolutional Neural Network-Based Virtual Reality Platform Framework for the Intangible Cultural Heritage Conservation of China Hainan Li Nationality: Boat-Shaped House as an Example [J] . Xi Deng, Il Tea Kim, Chong Shen Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

机译：基于卷大神经网络虚拟现实平台平台框架的中国海南李民族的无形文化遗产保护研究：船身房子作为示例
3. Tribological performance of nanographite-based metalworking fluid and parametric investigation using artificial neural network [J] . Rashmi W., Osama M., Khalid M., The International Journal of Advanced Manufacturing Technology . 2019,第1a4期

机译：基于纳米型金属加工的摩擦学性能和使用人工神经网络的参数调查
4. Artificial Neural Networks as an Architectural Design Tool-Generating New Detail Forms Based On the Roman Corinthian Order Capital [C] . Kacper Radziszewski World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium . 2017

机译：人工神经网络作为建筑设计工具生成新的详细信息，基于罗马科林斯人订单资本
5. An Artificial Neural Networks based Temperature Prediction Framework for Network-on-Chip based Multicore Platform. [D] . Aswath Narayana, Sandeep. 2016

机译：基于人工神经网络的片上网络多核平台的温度预测框架。
6. Bourdieu’s Cultural Capital in Relation to Food Choices: A Systematic Review of Cultural Capital Indicators and an Empirical Proof of Concept [O] . Carlijn B. M. Kamphuis, Tessa Jansen, Johan P. Mackenbach, -1

机译：布迪厄的文化资本与食物选择的关系：对文化资本指标的系统评价和概念的实证研究
7. Explaining Cultural Capital through Combining Different Dimensions of Social Capital: A Fussy Analysis Based on Artificial Neural Network Approach (ANNFIS) (A Case Study of Citizens Aged 18 and Above in Tehran) [O] . Ghorbanali Ebrahimi, Hadi Razeghimaleh 2016

机译：通过组合不同方面的社会资本尺寸来解释文化资本：基于人工神经网络方法的挑战分析（Annfis）（德黑兰18岁及以上公民的案例研究）

Investigating Predictability of Cultural Lifestyles Based On Cultural Consumption and Capital Forms Using Artificial Neural Network

摘要

著录项

相似文献

相关主题

期刊订阅