## 1. chinaXiv:201707.00007 [pdf]

 In this paper, one of our main purposes is to prove the boundedness of solution set of tensor complementarity problem with B tensor such that the specific bounds only depend on the structural properties of tensor. To achieve this purpose, firstly, we present that each B tensor is strictly semi-positive and each B$_0$ tensor is semi-positive. Subsequencely, the strictly lower and upper bounds of different operator norms are given for two positively homogeneous operators defined by B tensor. Finally, with the help of the upper bounds of different operator norms, we show the strcitly lower bound of solution set of tensor complementarity problem with B tensor. Furthermore, the upper bounds of spectral radius and $E$-spectral radius of B (B$_0$) tensor are obtained, respectively, which achieves our another objective. In particular, such the upper bounds only depend on the principal diagonal entries of tensors.

## 2. chinaXiv:201611.00887 [pdf]

 In this paper, we introduce the concept of an m-order n-dimensional generalized Hilbert tensor \mathcal{H}_{n}=(\mathcal{H}_{i_{1}i_{2}\cdots i_{m}}), \mathcal{H}_{i_{1}i_{2}\cdots i_{m}}=\frac{1}{i_{1}+i_{2}+\cdots i_{m}-m+a},\ a\in \mathbb{R}\setminus\mathbb{Z}^-;\ i_{1},i_{2},\cdots,i_{m}=1,2,\cdots,n, and show that its H-spectral radius and its Z-spectral radius are smaller than or equal to M(a)n^{m-1} and M(a)n^{\frac{m}{2}}, respectively, here M(a) is a constant only dependent on a. Moreover, both infinite and finite dimensional generalized Hilbert tensors are positive definite for a\geq1. For an m-order infinite dimensional generalized Hilbert tensor \$\mathcal{H}_{\infty} with a>0, we prove that \mathcal{H}_{\infty} defines a bounded and positively (m-1)-homogeneous operator from l^{1} into l^{p}\ (1

## 3. chinaXiv:201706.00751 [pdf]

 考虑股票选取的多因子问题，在传统模型的基础上，利用MATLAB软件建立使用加权回归（权由日期和涨跌幅综合决定）的股票基本面指标、技术指标对相对收益率的多因子模型，并且引入支持向量机作为风控，最终获得了一个收益较好的量化投资模型。

## 4. chinaXiv:201705.00968 [pdf]

 Millions of people benefit form Traditional Chinese Medicine(TCM) every day. Unfortunately, till now, TCM has not been accepted as science by world, especially western people. Bian Zheng Lun Zhi is distillation of TCM. Syndrome is key in system of Bian Zheng Lun Zhi. Study about the syndrome is core of study of basic theory of TCM. We creatively interpret TCM through a view of cognitive science and take syndromes of TCM as concepts of brain. This paper try to introduce syndrome to western people, in order to let western people understand our viewpoints more easily, the best method is to adopt a manner that is easily understood by them, already exists, and has been thought to be right. So we employ neural network presented by foreign people as brain model instead of network presented by us Using two classic case of TCM, we successfully clarify the three main properties of syndrome in TCM.

## 5. chinaXiv:201705.00826 [pdf]

 Based on the point of view of neuroethology and cognition-psychology, general frame of theory for intelligent systems is presented by means of principle of relative entropy minimizing in this paper. Cream of the general frame of theory is to present and to prove basic principle of intelligent systems: entropy increases or decreases together with intelligence in the intelligent systems. The basic principle is of momentous theoretical significance and practical significance .From the basic principle can not only derive two kind of learning algorithms (statistical simulating annealing algorithms and annealing algorithms of mean-field theory approximation) for training large kinds of stochastic neural networks,but also can thoroughly dispel misgivings created by second law of thermodynamics on 'peoplespsychology ,hence make one be fully confident of facing life.Because of Human society, natural world, and even universe all are intelligent systems.

## 6. chinaXiv:201705.00829 [pdf]

 Consciousness is discussed from viewpoint of theory of Entropy—partition of complex system. Human brain’s system self-organizably and adaptively implements partition, aggregation, integration, and consciousness emerges.

## 7. chinaXiv:201704.00218 [pdf]

 摘要：传统子空间类方法依赖于阵列相关矩阵，在阵列中阵元出现失效的情况下，相关矩阵将会秩亏，子空间类方法将会失效。针对该问题，本文从协方差拟合准则出发，将协方差矩阵的 Toeplitz 结构作为约束，基于低秩矩阵重构的原理来恢复协方差矩阵，而后采用子空间类方法来进行目标的方位估计。在阵元失效情况下，该方法能有效重构阵列协方差矩阵，恢复失效阵元的自由度，解决失效阵元情况下高精度目标方位估计的问题。数值仿真表明，该方法在阵元失效条件下，能够恢复损伤阵列到正常阵列条件下的性能，尤其是对于多个目标的情况，该方法表现出更优的性能。

## 8. chinaXiv:201704.00108 [pdf]

 研究了动态围堵嫌犯问题, 假设网络边长相等, 交巡警与嫌犯的速度相等. 建立了嫌犯移动信息更新下的交巡警调度问题的0-1线性整数规划模型, 模型利用点截集条件使调度后的警力形成围堵圈, 并对嫌犯的逃跑行为建模, 由此得到了动态围堵嫌犯问题的动态模拟模型. 算例考虑分割非等边长网络的边, 然后将分割后的网络视为等边长网络.