Matlab_neur_toolbox

fundamentals of cbir system... content based image retrieval

A little guide to python programming

主要描述了MIMO-OFDM系统中的各项技术的介绍以及仿真代码，比如分集技术，无线信道模型、信道估计等。(This paper mainly describes the introduction of various technologies and simulation codes in mimo-ofdm system, such as diversity technology, wireless channel model, channel estimation, etc.)

a book chapter about Markov Chains(Introduction Most of our study of probability has dealt with independent trials processes. These processes are the basis of classical probability theory and much of statistics. We have discussed two of the principal theorems for these processes: the Law of Large Numbers and the Central Limit Theorem.)

一个精简典型的的建模实例，进行了建模、加载和静力分析等基本步骤(A streamlined and typical modeling example with basic steps such as modeling, loading, and static analysis)

Ansys裂纹扩展程序 通过调用APDL模拟裂纹扩展过程(Ansys crack simulation)

code matlab Expand With the help of a Matlab graphical user interface through which the user can compress data sets using the codec RLE. The graphical interface supports the following functions: Input data sequence using appropriate control. What effect on the screen. It should appear as separate tables of data value and length and the final dialog provides encrypted (

专门针对需要使用Python对abaqus进行二次开发的工程及研究人员快速掌握脚本编写方法。(Specifically requires the use of Python for abaqus engineering and research personnel to quickly grasp the secondary development of scripting methods.)

说明：  通过ansys进行封闭的变压器结构的建模，进而分析变压器的低压侧绕组电压。电流和阻抗的关系(Model the closed transformer structure through ansys, and then analyze the low-voltage side winding voltage of the transformer. Relation between current and impedance)

A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.