资源列表
Online-upgrade-for-M051
- 新唐实现在线任意升级多机通信的思想和实现，可实现在线升级，可以实现通电情况下的在线升级，可以实现批量在线升级，可以实现多机系统的批量升级，可以在通电2s在线升级，可以实现不拆机情况下任意升级灯具!当然我们也可以自己编写上位机把程序传送给工具再升级灯具！但是工具必须要和PC通信就是说！在和PC通信的同时还能很灯具通信！-Online upgrade can be realized online, you can achieve batch online upgrades, you can achi
DynamicStiffnessSol
- 根据位移-力信号求解动刚度 tfestimate函数- U6839 u636E u4F4D u79FB- u529B u4FE1 u53F7 u6C42 u89E3 u52A8 u521A u5EA6
vibrationFFT
- 振动信号FFT处理 function [f,Amp,Phase] vibrationFFT(SignalInput, SampleFreq)- U632F u52A8 u4FE1 u53F7FFT u5904 u7406 function [f, Amp, Phase] vibrationFFT (SignalInput, SampleFreq)
Simplex
- Simplex Search Method for Function Optimization.
Dicotomico
- Dichotomic Search Method to find the global function. Used in optimization programs in matlab.
Study-of-Improved-BP-Neural-Network-on-Rotor-Spee
- In this paper three different methods such as GDM AGDM and modified PSO are adopted to optimize the neural networks, and simulate the DTC system with MATLAB/SIMULINK. The result shows: modified PSO algorithm can solve the problem of neural n
School-Management
- School management system php project.
Research-on-Optimization-of-Speed-Identification.
- Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disad
The-Systematic-Trajectory-Search-Algorithm-for-Fe
- In this paper we present the systematic trajectory search algorithm (STSA) which first globally explores the solution space then makes thorough local searches in promising areas. The STSA has been tested on training feedforward neural network
Optimization-of-Back-Propagation-Network-Using-Si
- This research proposed a simulated annealing approach which not only provide the best architecture and parameter settings of BPN, but also find out the beneficial subset of features according to different problems, so that the results of BPN
A-New-Unconstrained-Optimization-Method-based-on-
- In this paper, we try to use feedback control system as a new hybrid method to solve optimization problems. Because controller can control plant for a goal, if the plant is replaced by the cost function and the goal is changed to be solving o
An-Improved-Learning-Algorithm-Based-on-BFGS-Meth
- This paper suggests that a simple modification to the initial search direction can also substantially improve the training efficiency of almost all major optimization methods. It was discovered that if the initial search direction is locally modified