DES_-KEY-dan-contoh-gambar

This the free version of my Basis of AI Backprop designed to accompany my not yet published textbook, _The Basis of AI_. This program contains enough features for students in an ordinary AI or Neural Networking course. It includes the quickprop and delta-bar-delta algorithms for faster training and a fast integer version for machines without floating point hardware. This particular package includes C source for DOS and UNIX, examples, an ASCII manual and a number of DOS binaries. The binaries are for systems with floating point hardware (bp.exe), one for systems without floating point hardware (bp486sx.exe) and an integer version binary (ibp486sx.exe) for systems without floating point hardware.

digital signal processing

GSP算法的matlab实现，可查看算法效能，进行相关实验(GSP algorithm matlab realize, you can see algorithm performance, conduct experiments)

说明：  lfm线性调频脉冲多普勒雷达信号处理仿真。(Simulation of LFM chirped Doppler radar signal processing.)

This is an efficient implementation of the algorithm for calculating the universal image quality index proposed by Zhou Wang and Alan C. Bovik. Please refer to the paper "A Universal Image Quality Index" by Zhou Wang and Alan C. Bovik, published in IEEE Signal Processing Letters, 2001.

通过主成分分析和偏最小二乘分析，然后画出数据的PCA主轴和PLS主轴(Principal component analysis and partial least squares analysis, and then draw the PCA and PLS spindle axis data)

routine to take the Fourier transform of a signal and plot both the time and frequency domain representations. Typical use: >> n = 100 number of data points >> dt = 0.01 spacing between samples >> t = 0:dt:(n-1)*dt time vector >> y = sin(2*pi*10*t) 10 Hz sin wave >> fft_plot(y,dt) plot of signal in time and frequency domain

关于模糊控制的m文件,不用模糊工具箱，用m文件编写的代码，希望能够给大家提供帮助。(m file about fuzzy control，without fuzzy toolbox,the code written with m file,hope it can help somebody.)

这是一个PCA的练习题，即主成分分析，用于数据将维，将高维大数据降为低维数据。是一种高效率的数据处理方法。(This is a PCA exercises, namely principal component analysis for data-dimensional, high-dimensional data is reduced to a large low-dimensional data. Is a highly efficient method of data processing.)

求解离散问题的pso aco 算法，含german信用数据库 (Pso aco algorithm for solving the discrete problem with german credit database)