# Softbot ai simulation in c

The following C project contains the C source code and C examples used for softbot ai simulation. This code runs an AI simulation that I coded for a competition in 2003.

The following C project contains the C source code and C examples used for neural networks (a state of the art artificial intelligence demonstration). This is a must see demonstration.

The following C project contains the C source code and C examples used for steady state genetic algorithm with subpopulation. GAS is a steady state genetic algorithm with subpopulation support.

The following C project contains the C source code and C examples used for ga to solve the unit commitment problem. This is an exprimentation of using genetic algorithm to solve the Unit Commitment problem.

The following C project contains the C source code and C examples used for evolutionary computation framework. EO is a templates-based, ANSI-C++ compliant evolutionary computation library.

The following C project contains the C source code and C examples used for artificial intelligence (ai) search. Aisearch - a package to make writing problem solving programs easier.

The following C project contains the C source code and C examples used for ai challenge - guess the object. Winn the AI challenge and get the Tom Clancy's Splinter Cell game!
This is a very 'easy' challenge.

The following C project contains the C source code and C examples used for a 2player game (with simple ai). This little game was done by me using win32 GDI.

The following java project contains the java source code and java examples used for kohonen. This code is a homework for my University. It uses AI concepts to simulate a Kohonen Neural Network. Enjoy it and don't forgert to vote.

The following Matlab project contains the source code and Matlab examples used for comparing different methods to solve an inverted pendulum problem.
In order to solve an inverted pendulum dynamics, you can select several methods:
1.

The following Matlab project contains the source code and Matlab examples used for tsk forecasting.
The tool implements the Takagi-Sugeno-Kang (TSK) model of a fuzzy neural network with a hybrid learning algorithm.

The following Matlab project contains the source code and Matlab examples used for adaboost classification demo.
AdaBoost is an algorithm for constructing a "strong" classifier as linear combination of simple weak classifiers.
Reference : http://staff.ustc.edu.cn/~xjchen99/teaching/ImageUnderstanding/Robust%20real-time%20face%20detection.ppt

The following Matlab project contains the source code and Matlab examples used for neuro fuzzy and soft computing.
This text provides a comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing.
For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1444.jsp.

The following Matlab project contains the source code and Matlab examples used for fuzzy type 2.
Comparison of Fuzzy Logic principles along with Fuzzy Type -2

The following Matlab project contains the source code and Matlab examples used for fast kuwahara filter.
Fast Kuwahara edge preserving Filter.
as compared to submission:kuwahara.m"
http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=8171&objectType=FILE
on 480X640 image and window=5 (L=1), this filter was 38 times faster
(1.51 sec vs 57.6 sec). Also this
submission output correct (same) image size

The following Matlab project contains the source code and Matlab examples used for faster kuwahara filter.
This function performs a Kuwahara filtering on images.

The following Matlab project contains the source code and Matlab examples used for gui for fuzzy based washing machine.
Gui for washing Machine using fuzzy logic. this is a basic idea for Fuzzy system implementation.

The following Matlab project contains the source code and Matlab examples used for fuzzy logic of puma 560 robot.
Fuzzy control algorithm is used to control a three degree of freedom PUMA560 robot.

The following Matlab project contains the source code and Matlab examples used for simple fuzzy control demonstration.
This GUI demonstrates the use of fuzzy logic to control the steering of a car.

The following Matlab project contains the source code and Matlab examples used for read digits and labels from mnist database.
Read digits and labels from raw MNIST data files
File format as specified on http://yann.lecun.com/exdb/mnist/
Note: The 4 pixel padding around the digits will be remove
Pixel values will be normalised to the [0...1] range

The following Matlab project contains the source code and Matlab examples used for kuwahara filter implementation.
The pseudo-code/java applet referred to for the implementation can be found here:
http://www.cse.ust.hk/learning_objects/imageprocessing/kuwahara/kuwahara.html
Code example:
I = imread('peppers.png');
I_f = kuwahara_filter(I);
imshow(I_f);

The following Matlab project contains the source code and Matlab examples used for application of artificial intelligence (id a*) 8 puzzle.
The 8-puzzle is an old game largely used to test new heuristic AI techniques.

The following Matlab project contains the source code and Matlab examples used for a fuzzy logic based trend impact analysis method.
All Trend Impact Analysis (TIA) algorithms in literature conduct the analysis based on direct estimates provided by experts for the probability of occurrence of an unprecedented event as an input to the algorithm.

The following Matlab project contains the source code and Matlab examples used for unsupervised learning with growing neural gas (gng) neural network.
The Growing Neural Gas (GNG) Neural Network belongs to the class of Topology Representing Networks (TRN's).

The following Matlab project contains the source code and Matlab examples used for truck backer-upper control using fuzzy logic .
Using Fuzzy Logic to calculate control angle for Truck Backer-Upper Control problem.
Please see the document for more detail about the problem.

The following Matlab project contains the source code and Matlab examples used for compact ts fuzzy models through clustering and ols plus fis model reduction.
The construction of interpretable Takagi--Sugeno (TS) fuzzy models by means of clustering is addressed.

The following Matlab project contains the source code and Matlab examples used for functions for interval type 2 fuzzy logic systems.
This package contains the following files:
example.

The following Matlab project contains the source code and Matlab examples used for feedback linearizing control using hybrid neural networks identified by sensitivity approach.
Globally Linearizing Control (GLC) is a control algorithm capable of using non-linear process model directly.

The following Matlab project contains the source code and Matlab examples used for multilayer perceptron neural network model and backpropagation algorithm for simulink.
Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.
Marcelo Augusto Costa Fernandes
DCA - CT - UFRN
mfernandes@dca.ufrn.br

The following Matlab project contains the source code and Matlab examples used for mycnn is a matlab implementation of convolutional neural network (cnn). .
The first CNN appeared in the work of Fukushima in 1980 and was called Neocognitron.

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