Description: 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear
mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example. Platform: |
Size: 382976 |
Author:will |
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Description: This brief report describes the Applied Meteorology Unit’s development and
actuation of an artificial neural network for predicting cloud cover at the Shuttle
nding Facility (SLF). This first section describes the motivation for the project and
ovides an introduction to artificial neural network models. Section 2 describes the
development of the neural network model and summarizes its effectiveness. Section 3
summarizes the evaluation analysis performed on the neural network model and finally,
action 4 summarizes the project’s successes and failures.-This brief report describes the Applied Meteorology Unit’s development and
actuation of an artificial neural network for predicting cloud cover at the Shuttle
nding Facility (SLF). This first section describes the motivation for the project and
ovides an introduction to artificial neural network models. Section 2 describes the
development of the neural network model and summarizes its effectiveness. Section 3
summarizes the evaluation analysis performed on the neural network model and finally,
action 4 summarizes the project’s successes and failures. Platform: |
Size: 65536 |
Author:lucky |
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Description: 混沌时间序列 基于人工神经网络的一步或多步预测-Chaotic time series based on artificial neural network or multi-step prediction step Platform: |
Size: 5120 |
Author:wuyong |
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Description: 人工神经网络（ArtificialNeuralNetworks，简写为ANNs）也简称为神经网络（NNs）或称作连接模型（ConnectionistModel），它是一种模范动物神经网络行为特征，进行分布式并行信息处理的算法数学模型。这种网络依靠系统的复杂程度，通过调整内部大量节点之间相互连接的关系，从而达到处理信息的目的。
-Artificial neural network (ArtificialNeuralNetworks, abbreviated as ANNs) also referred to as neural networks (NNs) or known connection model (ConnectionistModel), it is a neural network model of animal behavior characteristics, the distributed parallel algorithm for information processing model. This network relies on the complexity of the system, by adjusting the connection between the number of nodes within the relationship, so as to achieve the purpose of processing information. Platform: |
Size: 487424 |
Author:小林 |
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Description: 文章介绍了神经网络和人工智能的历史、现状和发展方向，以此为基础，比较神经网络和人工智能，指出了它们的区别和联系，并对神经网络和人工智能在未来的前景进行了一定评价。 -This paper introduces the Artificial Neural Network (ANN) and Artificial
Intelligence’s (AI) history, actuality and their develop directions. On the basis of that, the paper compares the ANN and AI, points out the differences and relations between
them. At last, this paper gives some presentation about the prospects of ANN and AI in the future. Platform: |
Size: 195584 |
Author:loutao |
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Description: 编写BP神经网络系统，可适应多节点输入输出的人工神经网络训练，即可以自由定义输入节点的个数，隐层节点个数，输出节点个数以及样本的个数。-Preparation of BP neural network system can be adapted to multi-node input and output of the artificial neural network training, that is free to define the number of input nodes, hidden layer node number, the number of output nodes and the number of samples. Platform: |
Size: 1024 |
Author:亲爱的米娅 |
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Description: 人工神经网络是一种应用类似于大脑神经突触联接的结构进行信息处理的数学模型-The artificial neural network is an application similar to the structure of the brain synaptic connections to the mathematical model of information processing Platform: |
Size: 3631104 |
Author:高兴雷 |
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Description: 人工精神网络电子课件，由北京工业大学计算机学院出品。作为人工神经网络入门课程，介绍人工神经网络及其基本网络模型，使学生了解基本模型，概念，并掌握软件实现方法-Artificial spirit of web-based electronic courseware, produced by the Beijing University of Technology School of Computer Science. Introductory courses as an artificial neural network, the artificial neural network and its basic network model, so that students understand the basic model, concepts, and mastery of the software implementation Platform: |
Size: 618496 |
Author:aa |
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Description: 人工神经网络是在现代神经科学的基础上提出和发展起来的，旨在反映人脑结构及
功能的一种抽象数学模型。-The artificial neural network is proposed on the basis of modern neuroscience and development designed to reflect human brain structure
The function of an abstract mathematical model. Platform: |
Size: 176128 |
Author:yangchenghu |
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Description: C++编写的BP神经网络的训练工具，采用命令提示符操作，类似系统的cmd.exe-BP neural network training tool using C++ programming language Platform: |
Size: 3429376 |
Author:asaisaio |
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Description: 摘要:回顾了神经网络理论发展的历史和现状。在此基础上，介绍并讨论了20世纪如年代神经网络研究的一些新进展。根据神经网络研究的特点，对人工神经网络今后的发展前景作了一定的评述，
人工神经网络的研究与发展必将对现代科学技术产生深远的影响.配准中基于像素和基于特征两类主要方法的优缺点 深入研究了互信息理论在医学图像配准领域的应用和实现机理以及互信息作为相似性测度的优缺点。本文着
重深入研究了Renyi广义互信息及其在图像配准中的作用，并针对互信息计算的复杂性，引入了广义近邻图嫡估计理论，并成功应用于多模医学图像配准中。
-Abstract: The review of the history and current status of the development of neural network theory. On this basis, some new developments in the 20th century, such as the age of neural network research is presented and discussed. According to the characteristics of neural network research, made some comment on the future prospects for the development of artificial neural network, artificial neural network research and development is bound to have a profound impact on modern science and technology. Registration based on the pixel-based features of the two main types The advantages and disadvantages of the method -depth study of the mutual information theory in the field of medical image registration and achieve mechanism and the advantages and disadvantages of mutual information as a similarity measure. The article focuses on in-depth study the Renyi generalized mutual information and its role in image registration, and the introduction of mutual information calculation complexity, the t Platform: |
Size: 45056 |
Author:朙朙 |
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Description: 简明扼要地讲述了人工神经网络的基本原理、训练算法和应用领域-Succinctly describes the basic principles of artificial neural network training algorithms and applications Platform: |
Size: 2486272 |
Author:Zuwang Gan |
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Description: an excellent book providing an introduction to artificial neural network for modeling and fault diagnosis Platform: |
Size: 3829760 |
Author:Hossein |
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Description: 神经网络讲义，共八讲，主要讲述了神经网络发展史以及几个经典的人工神经网络-Neural network handouts, a total of eight speakers, mainly about the history of neural networks as well as several classic artificial neural network Platform: |
Size: 1029120 |
Author:similar |
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