kernel-api

说明：  让你对Python语言有深入而完整的了解，从而帮助你理解今后遇到的任何Python应用程序实例。(Let you have a thorough and complete understanding of the Python language, so as to help you understand any Python application examples you will encounter in the future.)

这是一本研究高效率测试的书，英文原版书籍。(This is a study of high-efficiency test book, the English original book.)

SEISMIC UNIX地震数据处理系统：SU3_3处理操作系统指南，对地震处理初学者希望有所帮助。(SEISMIC UNIX SEISMIC data processing system: SU3_3 processing operating system guidelines, hope to help for the beginners of SEISMIC processing.)

说明：  micro chip的电机资料，主要是交流电机 AC Induction Motor Fundamentals (electrical micro chip information, mainly AC Motor AC Induction Motor Fundamentals)

一个C和C++的函授参考手册，希望能够成为您编程的好帮手。(A C and C++ Correspondence reference manual, I hope to become a good helper of your programming.)

说明：  本文提出了一种用于通信系统中无线电信号检测的自动调制识别框架。该框架考虑了深度卷积神经网络（CNN）和长期短期记忆网络（LSTM）。 此外，我们提出了一种预处理信号表示，其组合了调制信号的同相，正交和四阶统计。所提供的数据表示允许我们的CNN和LSTM模型对我们的测试数据集实现8％的改进。(Automatic Modulation Recognition using Deep Learning Architectures, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC))

图书使用Excel和VBA的高级财务建模英文版(Advanced Modeling in Finance Using Excel and VBA)

本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related theory, combined with the BP neural network, RBF neural network, SVM, SOM neural network, grey neural network, decision tree, random forest, wavelet neural network and NARX neural network, optimization algorithm and neural network.)

In this study, it is tried to employ a state-of-the-art multi-objective uniform-diversity genetic algorithm (MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control (LFC) of power systems. At fi rst, multi objective optimization of a linear non-reheat two-area interconnected power system is conducted with respect to three confl icting objective functions. Gains of PI and PID controllers are con- sidered as design variables while the objective functions are Integral Time multiply Absolute Error (ITAE),

超小波分析与应用的讲义，包含2、3、4、7、8、9章内容，有塔式算法、脊波和曲波变换、Surfacelet变换等(The the super wavelet analysis and application of handouts, 2,3,4,7,8,9 chapter, tower algorithm, ridgelet and curvelet transform, Surfacelet transform etc.)