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The emulation of synaptic plasticity to achieve sophisticated cognitive functions and adaptive behaviors is critical to the evolution of neuromorphic computation and artificial intelligence. More feasible plastic strategies (e.g., mechanoplasticity) are urgent to achieve comparable, versatile, and active cognitive complexity in neuromorphic systems. Here, a versatile mechanoplastic artificial synapse...
Using both qualitative and quantitative analysis, a set of relatively integrated evaluation indexes was developed to analyze the urban planning process in Guanzhong urban agglomeration. Key impact factors of coordinated development obtained from literature analysis were used as input, and the degree of coordinated development during 1988~2008 calculated by principal component analysis and the coordinated...
As a green renewable resource, wind energy has been emphasized to solve the problem of world energy crisis and environmental pollution. Prediction of the effective wind power density is a significant work for wind power evaluation. In this paper, the effective wind power density values are regarded as a time series, furthermore, Back Propagation Neural Networks (BPNN) and Generalized Regression Neural...
Kernels defined on vectors have been widely used in host-based intrusion detection. We propose a protocol anomaly detection model based on string kernels including high-order Markov kernel, all-length gap-weighted kernel, all-length-weighted kernel and its variation all-length-weighted once kernel. Experimental results show that these string kernels can hold state information of protocols well. Models...
City scientific and technological progress level classification and promotion play a central role in spurring city income growth and reducing poverty. Based on the Chinese city data availability, this paper built evaluation index system on the level of city scientific and technological progress. According to the city scientific and technological progress data which is large scale and imbalance, this...
Innovation system efficiency analysis and prediction play an important role in regional innovation systems development and improve benefit of innovative capacity for country. According to the county innovation system data which is large scale and imbalance, this paper presented a support vector machine model to predict county innovation system efficiency. The method was compared with artificial neural...
Recently the conjugate residual squared (CRS) method has been proposed as an attractive variant of the bi-conjugate residual method. However, in many situations, the CRS algorithm exhibits an irregular convergence behavior. To overcome the disadvantage, we apply a smoothing technique to the CRS algorithm and derived the smoothed CRS algorithm. Numerical experiments indicate that the new method give...
This paper proposed a novel fault diagnosis scheme for estimating the fault section of power system by using hybrid rough set and quantum neural network (RSQNN). The RSQNN approach is developed basing the rough set attributes reduction and quantum neural network recognition. The efficiency and fault tolerance of RSQNN scheme used for fault diagnosis is evaluated in simulation studies, which show promising...
Customer churn analysis and prediction play an important role in customer relationship management and improve benefit of enterprise. According to the bank's customer churn data which is large scale and imbalance, this paper presented a support vector machine model to predict customer churn. The method was compared with artificial neural network, decision tree, logistic regression and naive Bayesian...
The knowledge-space of the network is constructed in this paper whose dimension is depicted by the innovative product as vertex of the space. The techno-innovation process is taken as a translation from n-dimensional space to one-dimensional space firstly. And then, from the microscopic perspective and macroscopic perspective, the evolution of the knowledge base in the process is studied respectively...
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