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yidong
- 目前，人们逐渐意识到了融合移动通信技术的电子商务将具有很大的潜力， 移动电子商务的市场前景普遍被业内人士看好。本文讨论了移动电子商务的概 念、功能及其实现技术，深入分析了在我国发展移动电子商务的问题及对策，预 测了其未来的发展趋势。 典型的论文格式-Currently, people gradually realized the integration of mobile communications technology will have great potential
nanotechnology
- 介绍了纳米技术的概念及其发展历程，预测了纳米技术的应用前景-Introduced the concept of nanotechnology and its development process, predict the prospects of nanotechnology applications
predict-research-and-application
- 本文主要讨论了几种预测方法以及在浙江电力市场和中国股票市场的应用 实例。预测方法主要介绍了统计学方法和BP神经网络算法 -This paper discusses several prediction methods, as well as application examples in the Zhejiang electricity market and the Chinese stock market. The prediction method introduces a stat
122
- 一篇关于智能算法预测蛋白质耐热性的综述。-An intelligent algorithm to predict protein heat overview.
image-study
- 多示例学习是与监督学习、非监督学习和强化学习并列的第四类学习框架，目前已广泛应用于药物设计、图像搜索等领域,并已获得很好的效果。在多示例学习中，训练样本是由多个示例组成的包，包是有概念标记的，但示例本身却没有概念标记，学习的目的是预测新包的类别。-Multi-instance learning and supervised learning, unsupervised learning and reinforcement learning tied for the fourth-class le
2009-software-develop-prediction
- 2009软件外包行业发展趋势预测，由中国传动网市场研究所得。-2009 software outsourcing industry trends to predict- China Mobility market research.
regress-and-predict
- 基于svm的一维信号的回归预测，精确度优于传统的神经网络方法-The one-dimensional signal based svm regression prediction accuracy is better than traditional neural network method
Discrete-choice-analysis-of-spatial-attack-sites.
- This paper presents an algorithm for the complete specification of multinomial discrete choice models to predict the spatial preferences of attackers. The formulation employed is a modification of models previously applied in transportation flo
EFFECTIVENESS-OF-SUPPORT-VECTOR-MACHINE-FOR-CRIME
- Crime hot-spot location prediction is important for public safety. The output from the prediction can provide useful information to improve the activities aimed at detecting and preventing safety and security problems. Location prediction is a sp
Internet-Threat-Detection--Prediction-and-Relevan
- With the development of Internet technology, the popularity of the malicious threat has grown beyond our imagination. The emergence of intelligent, sophisticated attack techniques makes the Internet services more vulnerable than ever, which b
Prediction-of-past-unsolved-terrorist-attacks
- In this study, a novel model is proposed to predict perpetuators of some terrorist events which are remain unsolved. The CPM learns from similarities between terrorist attacks and their crime attributes then puts them in appropriate clusters.
Prediction-of-Series-Criminals--An-Approach-Based
- In our model, firstly, we predict the residence of the offender based on the locations of the last crime scenes with three methods (distance analysis: the location that has the shortest distance to each crime site, circle fitting, probability t
_imc-2009---facebook-impact
- this paper examines the specific role played by a key component of OSNs: the extremely popular and widespread set of third-party applications on some of the most popular OSNs. With over 81,000 third-party applications on Facebook alone, their
A-data-driven-fuzzy-approach-
- 一篇基于状态监测数据的产品寿命预测的外文文献，用到matlab仿真，简单易懂。-Products based on the life of a state monitoring data to predict the foreign literature, use matlab simulation, easy to understand.
WNN
- 改进的小波神经网络研究，可以用来预测交通流-The improved wavelet neural network research, can be used to predict traffic flow
Intelligent-Prediction
- 质量非常好的一篇博士论文。冲击破坏过程十分复杂，很难建立精确的数学模型，但目前具有冲击危险性的矿井都采取了多种监测措施，可以获得大量冲击地压监测数据。本论文以获取的冲击地压监测历史时间序列数据为基础，在相空间重构出的动力学空间中分析其混沌特性，基于混沌预测理论，采用智能算法对多个冲击地压监测变量进行预测研究，并采用集成分类方法对冲击危险性进行识别预测研究。-Quality is very good a doctoral dissertation. The impact of the destru
Intelligent-algorithm
- 智能算法，包括粒子群，改进粒子群，改进遗传算法等，可用于预测等领域！-Intelligent algorithms, including PSO, improved particle swarm, improved genetic algorithm can be used to predict other fields!
NeuralNetwork
- this file contains code for neural network to predict weather and diseases according to input data.
Neural-networks-for-multi-instance-learning
- Multi-instance learning originates the investigation on drug activity prediction, where the task is to predict whether an unseen molecule could be used to make some drug.-Multi-instance learning originates the investigation on drug activity predicti
1-s2.0-S0022460X09007469-main
- A dynamic model to predict modulation sidebands of a planetary gear set having manufacturing errors