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Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)

本书详细介绍了用Maple和MATLAB解决科学计算问题，有很多的实例供大家学习 。(The book details the use of Maple and MATLAB to solve the issue of scientific computing, there are many examples of learning for everyone.)

收费站排队仿真程序，动画实时显示，指标事实输出(Toll station queuing simulation program)

w83627dhg芯片的编程操作，里面包含相关编程代码，控制IO等接口程序(W83627dhg chip programming operation, which contains the related programming code, control IO interface program)

this function used to calculate MATRIX INVERSE

用户个人信息的设计题,将姓名,性别,生日,爱好记录在TextArea中,只是一个小程序而已.(The design problem, the personal information of the user s name, gender, birthday, interest is recorded in TextArea, only a small program. )

使用EM算法，估计8PSK调制方式下的信噪比(EM algorithm using the estimated signal to noise ratio under 8PSK modulation)

小波图像融合，采用用量一样的图像（但每张图像不同的位置发生模糊），融合产生尽量清晰的图(Wavelet image fusion, the amount of the same image (of the location of each image blur), and fusion to produce as clear as possible in Figure)

Adaptive Schemes for Expanded Diagnosis Image Evaluation for skin cancer Skin cancer is a malignant tumour which grows in skin cells. It is one of the most common of all cancer which affects human beings and accounts for more than 50 of all types of cancers around the world. Skin cancer is skin’s unwanted growth with differing causes and varying degrees of malignancies. It can spread very fast to all organs/parts of human body through lymphatic system or blood.

包括内插，还有成形滤波器等等调制时所用的matlab文件(Including interpolation, as well as shaping filter modulation, etc. used by the matlab file)