本人編寫的incremental 隨機神經元網絡算法，該算法最大的特點是可以保證approximation特性，而且速度快效果不錯，可以作為學術上的比較和分析。目前只適合benchmark的regression問題。
具體效果可參考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std(b_j), obtained by jackknifing. The cutoff level, below which c_j is considered to be too small, indicating that the variable j should be removed, is estimated using a matrix of Random variables.The predictive power of PLS models built on the retained variables only is evaluated over all 1-a dimensions =(yielding RMSECVnew).
The VGA example generates a 320x240 diffusion-limited-aggregation (DLA) on Altera DE2 board. A DLA is a clump formed by sticky particles adhering to an existing structure. In this design, we start with one pixel at the center of the screen and allow a Random walker to bounce around the screen until it hits the pixel at the center. It then sticks and a new walker is started Randomly at one of the 4 corners of the screen. The Random number generators for x and y steps are XOR feedback shift registers (see also Hamblen, Appendix A). The VGA driver, PLL, and reset controller from the DE2 CDROM are necessary to compile this example. Note that you must push KEY0 to start the state machine.
Quality control of production has always been a necessity
in stainless steel mills. The users of stainless
steel set ever-increasing requirements on product
quality. Many material properties can still only be
measured in laboratory but more and more measurements
are now made on-line during the production.
Especially surface defects have to be detected on-line
with a surface inspection system because of their Random
appearance.
AutoSitePasswords is a users admin tool for Apache web server.
AutoSitePasswords keeps the users database and allows to append, edit,
delete and search the users records. AutoSitePasswords allows to generate
the Random login/password serieses. AutoSitePasswords makes the Apache
passwords files. The users passwords may be encrypted by MD5 algorithm.
The passwords files may be automatic uploaded to FTP server.
Free open-source disk encryption software for Windows Vista/XP, Mac OS X, and Linux
Main Features:
* Creates a virtual encrypted disk within a file and mounts it as a real disk.
* Encrypts an entire partition or storage device such as USB flash drive or hard drive.
* Encrypts a partition or drive where Windows is installed (pre-boot authentication).
* Encryption is automatic, real-time (on-the-fly) and transparent.
* Provides two levels of plausible deniability, in case an adversary forces you to reveal the password:
1) Hidden volume (steganography) and hidden operating system.
2) No TrueCrypt volume can be identified (volumes cannot be distinguished from Random data).
* Encryption algorithms: AES-256, Serpent, and Twofish. Mode of operation: XTS.
Further information regarding features of the software may be found in the:http://www.truecrypt.org/
200-MHz ARM920T Processor
• 16-kbyte Instruction Cache
• 16-kbyte Data Cache
• Linux® , Microsoft® Windows® CE-enabled MMU
• 100-MHz System Bus
• MaverickCrunch™ Math Engine
• Floating Point, Integer, and Signal Processing
Instructions
• Optimized for digital music compression and
decompression algorithms.
• Hardware interlocks allow in-line coding.
• MaverickKey™ IDs
• 32-bit Unique ID can be used for DRM-compliant
128-bit Random ID.
• Integrated Peripheral Interfaces
• 32-bit SDRAM Interface
program which uses hashing techniques for storing and retrieving the data.
Input to the program: Some Random numbers. Input will be from a file.
Output: First the program reads all the input and store it properly using some hash techniques.
Once your program reads the complete input,it waits for the user input (prompt to the user).
User now enters some number.program displays if this number exists in the list or not.
it also display the time taken in the search operation.
