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用Delphi编写的车牌识别系统，包括预处理，应用神经网络识别等,Prepared using Delphi License Plate Recognition system, including pre-processing, the application of neural network recognition
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神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
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BP网络的应用： BP神经网络用于分类与回归， 使用matlab打开-Application of BP Network: BP neural network for classification and regression, the use of matlab to open
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从ML-EM 重建算法入手，分析了贝叶斯模型的一些关键点，针对采用传统方法求解MAP问题的局限性，提出一种用于正电子成像的贝叶斯神经网络重建算法，为了保留边缘信息，引入了二进制的保边缘变量，并应用共轭神经网络求解，模拟的重建结果表明，应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
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摘 要：果蔬收获机器人是机器人技术在农业中的具体应用，基于避障的路径规划是果蔬收获机器人主要
的研究内容。由于农业机器人作业环境的复杂性和非结构性，神经网络籽是其重要的研究方法。为此，介
绍了神经网络的特点 ，重点分析了采用神经网络描述果蔬收获机器人工作环境的基本思路 ，最后给出了黄瓜采摘机器人的具体分析实例，对农业机器人工作环境的描述具有较高的参考价值。 -Abstract: The fruit and vegetable harvesting robot is the robot
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LmNet PF 神经网络预测平台是公司基于最优神经网络算法(Levenberg-Marquardt动量项法)开发的通用预测平台工具。它是针对用户进行预测需要，快速构建神经网络应用的通用预测平台，它能解决包括销售量预测、销售价格预测、成本预测、市场潜力预测、新产品价格预测等方面的预测分析。功能包括：新建、修改网络模型；网络训练；网络仿真；误差分析；专家样本数据自动生成；节点配置；数据归一化处理；网络参数初始化设置等。~..~
-Neural Network Prediction LmNet
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利用神经网络进行字符识别。字符识别时模式识别的一个典型应用。本源码将训练BP神经网络使其能过对26个英文字母进行识别。-The use of neural network character recognition. When character recognition of a typical pattern recognition application. The source will be training BP neural network to enable them to have
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Application of Neural Networks in Wind Power
(Generation) Prediction
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This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in suc
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搜集的近年来小波神经网络应用方面的内容，希望对大家有所帮助-Collected in recent years, the application of wavelet neural network content, we want to help
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模糊神经网络的的相关应用及介绍，能帮助理解模糊神经网络的基本概念-Fuzzy neural network and the introduction of related applications, can help to understand the basic concepts of fuzzy neural network
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基于模糊控制实例的神经网络设计，其中应用了matlab中的神经网络工具箱-Based on the fuzzy control example of neural network design，
The application of neural network toolbox of matlab
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描述几种神经网络，及其应用的方法，图像处理中常用的神经网络的方法。-Describe several neural network, and its application method, image processing of commonly used the method of neural network.
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神经网络在matlab中的30实例应用的书籍，可用于学习和编程参考-30 instance of the application of neural network in matlab books, can be used for learning and programming reference
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一篇很好的paper 是对神经网络的研究和运用的，介绍了国内和国外目前神经网络的研究动态和发展趋势。-A very good paper is to research and application of neural network, introduced the domestic and foreign current neural network trends of research and development trend.
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matlab例程，主要实现神经网络的辨识（不是应用工具箱），其中包含多个子文件，包含高斯白噪声的生成，bp神经网络，hopfield神经网络等的辨识。,matlab routine identification of neural network (not application toolbox), which contains multiple subfolders containing white Gaussian noise generated bp neural network, hop
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神经网络的原理与应用，了解神经网络的基本原理和实现方法-Principle and application of neural network, to understand the basic theory and method of neural network
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应用神经网络与神经网络相关的几个问题,这包裹集中经典分类器,和图像分割,特别是彩色图像分割和过滤-Application of neural networks is associated with several issues related to the neural network, which wrapped centralized classical classifier, and image segmentation, especially color image segmentati
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application of neural network in fault location software in the He Jia Lang
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Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve
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