GP algorithm versus hybrid and mixed neural networks

In the current paper, we present an integrated genetic programming (GP) environment called java GP modelling. The java GP modelling environment is an implementation of the steady-state GP algorithm. This algorithm evolves tree-based structures that represent models of inputs and outputs. The motivation of this paper is to compare the GP algorithm with neural network (NN) architectures when applied to the task of forecasting and trading the ASE 20 Greek Index (using autoregressive terms as inputs). This is done by benchmarking the forecasting performance of the GP algorithm and six different autoregressive moving average model (ARMA) NN combination designs representing a Hybrid, Mixed Higher Order Neural Network (HONN), a Hybrid, Mixed Recurrent Neural Network (RNN), a Hybrid, Mixed classic Multilayer Perceptron with some traditional techniques, either statistical such as a an ARMA or technical such as a moving average convergence/divergence model, and a naïve trading strategy. More specifically, the trading performance of all models is investigated in a forecast and trading simulation on ASE 20 time-series closing prices over the period 2001–2008, using the last one and a half years for out-of-sample testing. We use the ASE 20 daily series as many financial institutions are ready to trade at this level, and it is therefore possible to leave orders with a bank for business to be transacted on that basis. As it turns out, the GP model does remarkably well and outperforms all other models in a simple trading simulation exercise. This is also the case when more sophisticated trading strategies using confirmation filters and leverage are applied, as the GP model still produces better results and outperforms all other NN and traditional statistical models in terms of annualized return.     

Content analysis of open innovation communities using latent semantic indexing

The internationalisation of corporate research is an issue with a large impact on strategic decision-making within the research-intensive pharmaceutical industry. However, sector-wide comparative statistics on the whereabouts of corporate research activities and the geographic distribution of their research partners is scarce. This paper describes the international research profiles of Europe's top 10 largest multinational pharmaceutical companies based on publication counts and author address information drawn from the thousands of pharmaceutical research articles published in 2005–2006. The results provide relevant aggregate-level background intelligence for strategic analysis of the industry's internationalisation processes and research cooperation patterns. The overall statistics indicate that international research activity of European industry is significantly more oriented towards the US science base than vice versa. Company-level statistical data on the research cooperation involving each company's central research centres based in country of corporate headquarters, reveal quite distinctive geographical characteristics alongside differential preferences for in-house or external research partners.     

Balancing basic and applied research outputs: a study of the trade-offs between publishing and patenting

This study examines the relationship between academic publications and patents. First, we use regression models to investigate those factors that act as potential drivers when considering papers and patents individually. Second, we run a cluster analysis in order to test whether universities follow different patterns in the way they align their resources in regard to research objectives. The empirical application considers the Spanish public higher education system for the period 2006–2010. The overarching conclusion is that cross-fertilisation relationships between academic research and its commercialisation are found. There are, however, important differences in how universities are disseminating research results, particularly when we analyse the resources and capabilities universities possess. Results also stress the need to look at contextual and normative factors.     

Do funding sources matter?: The impact of university-industry collaboration funding sources on innovation performance of universities

ABSTRACT

The nature of funding sources for university-industry collaboration (UIC) has gradually changed, which may motivate universities to pursue different goals. Therefore, a question arises concerning whether and how funding sources influence the innovation performance of universities. This study explicates this relationship by using organisational control theory. Results of structural equation modelling using partial least squares based on a sample of 146 Taiwanese universities revealed that both governmental and industrial funding facilitated UIC management mechanisms and regulation implementation, which subsequently influenced the innovation performance of universities. Moreover, governmental funding has a greater impact on implementing UIC regulations and industrial funding has a greater impact on building UIC management mechanisms. The results also revealed that only industrial funding exerts a positive influence on the innovation climate of a university. Policy implications are discussed at the end of this paper.     

粤、苏、浙经济增长方式转变的定量比较及定性分析

广东、江苏、浙江是中国经济最发达的三个省份,经济增长方式中有很多相同点,同时也各具不同特征。对比分析经济增长方式的转变差异及各自的优、劣势所在,不仅是对于这个三个省份经济增长状态的有力透视,同时也能为其他省市的发展提供可借鉴的实证依据。本文基于独立开发的测度指标体系及分析方法,从经济增长方式转变的四大方面量化横向对比三省的经济增长方式转变的程度,并关联剖析了各自长短之所在。     

谈投标决策的影响因素

随着我国工程项目招投标制的全面推行,投标报价是招标人选择中标人的主要标准,也是招标人和中标人签订承包合同的主要依据。工程项目招投标活动由于受多种因素的影响,投标往往错综复杂,本文论述了投标决策的影响因素,以利于提高中标率。     

枢纽内铁路客运站布局方案评价方法研究

为了评价枢纽内客运站的布局优劣和服务水平,进而优化规划方案,文章从枢纽的适应性、协调性、社会性以及经济性4个方面建立评价指标体系,然后用定量的方法给出各指标的定义及计算方法,再采用层次分析法与熵值法相结合的赋权方法确定指标的权重,从而得到布局方案的评价模型。     

基于闭环供应链的玻璃包装逆向物流

根据玻璃包装回收状况,参考闭环供应链运作思想,本着玻璃包装回收逆向物流的最佳化为目的,通过分析玻璃包装逆向物流的概念及特点,构建了玻璃包装闭环供应链逆向物流模式,最后为了模式更好的运作,提出三大对策———培养逆向物流核心企业、建立物流信息系统和加强玻璃包装立法。     

第三方物流包装服务中的法律责任问题

首先概述第三方物流包装服务中的法律关系框架内容及相关调节法律类型,接着重点分析第三方物流在提供包装服务过程中的主要法律责任类型和机制,分别就承担的民事责任、行政责任和刑事责任三个方面进行了分析,剖析主要法律责任的来源和包装服务中的主要潜在法律风险,最后从建设低碳环保经济的视角来研究第三方物流包装服务中的绿色包装的法律责任,并就具体的产生机制从法理上进行分析和阐述。