The subject which is to us propos¨¦ is as follows: calculation of the degr¨¦ d¡ ¯ inconsistance d¡ ¯ un logical program possibilist in C++. We thus work on a logical program possibilist, it be-¨¤-statement a logical program resulting from non-classique logic. The go ...
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
This book focuses on combining C++ s power and flexibility with high performance and
scalability, resulting in the best of both worlds. Specific topics include temporary objects,
memory management, templates, inheritance, virtual functions, inlining, referencecounting,
STL, and much more
This book is about the management of business processes. This is certainly
not a new topic. Since the beginning of the Industrial Revolution, it
has been written about from every possible point of view—economic,
sociological, psychological, accountancy, mechanical engineering and
business administr ...
DWT变换源代码，As a special exception, you may use this file as part of a free
software library without restriction. Specifically, if other files
instantiate templates or use macros or inline functions from this
file, or you compile this file and link it with other files to
produce an executable, t ...
The code, images and designs for this book are released under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
http://creativecommons.org/licenses/by-nc-sa/2.5/
You are free:
* to copy, distribute, display, and perform the work
* to make derivative works
Under the following c ...
Following is a repost of the public domain make that I posted
to net.sources a couple of months ago. I have fixed a few bugs, and
added some more features, and the resulting changes amounted to
about as much text as the whole program (hence the repost).一个编译器C代码，详见REDME。
A method is presented for augmenting an extended
Kalman filter with an adaptive element. The resulting estimator
provides robustness to parameter uncertainty and unmodeled
dynamics.
We present a particle filter construction for a system that exhibits
time-scale separation. The separation of time-scales allows two simplifications
that we exploit: i) The use of the averaging principle for the
dimensional reduction of the system needed to solve for each particle
and ii) the factor ...
