The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The returned model has the form
1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2)
2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2)
看不懂，據(jù)高手說，非常有用。
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
IBM® Rational® Application Developer V6.0 is the full function Eclipse 3.0 based
development platform for developing Java™ 2 Platform Standard Edition (J2SE)
and Java 2 Platform Enterprise Edition (J2EE) applications with a focus on
applications to be deployed to IBM WebSphere® Application Server and IBM
WebSphere Portal. Rational Application Developer provides integrated
development tools for all development roles, including Web developers, Java
developers, business analysts, architects, and enterprise programmers.
This IBM Redbook is a programming guide that highlights the features and
tooling included with IBM Rational Application Developer V6.0. Many of the
chapters provide working examples that demonstrate how to use the tooling to
develop applications as well as achieve the benefits of visual and rapid Web
development.
