Applied mathematics

Kohonen in java

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.

Performs fuzzy relational clustering using the frecca algorithm. in matlab

The following Matlab project contains the source code and Matlab examples used for performs fuzzy relational clustering using the frecca algorithm. . Performs fuzzy relational clustering using the FRECCA algorithm. See Skabar, A. and Abdalgader, K. (2013) "Clustering sentence-level text using a novel fuzzy relational clustering algorithm". IEEE Transactions on Knowledge and Data Engineering, 25(1), 62-75.

Coin and dice in matlab

The following Matlab project contains the source code and Matlab examples used for coin and dice. Compute the estimated average number of coin tosses (or dice throws) to get a given sequence of Heads-and-Tails (or a sequence of intergers ranging from 1 to 6) The inputs are: - The Sequence (row vector) - The Number of Monte-Carlo Simulations The outputs are the estimated (Monte-Carlo) expectation of number of tosses/throws to get the input sequence, along with the standard deviation of the error (due to the randomness of the simulation).

Trigonometric function fpga implementation using cordic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for trigonometric function fpga implementation using cordic algorithm. This sample model shows how to create model using Simulink primitive blocks. CORDICアルゴリズムを使用した三角関数計算をFPGAに実装します。 このサンプルモデルはSimulink基本ブロックを使ってモデルを作成する方法を紹介しています。

Calculates the sample entropy, in bits, of discrete variables. in matlab

The following Matlab project contains the source code and Matlab examples used for calculates the sample entropy, in bits, of discrete variables. . Entropy: Returns entropy (in bits) of each column of 'X'   by Will Dwinnell     H = Entropy(X)     H = row vector of calculated entropies (in bits)   X = data to be analyzed     Note 1: Each distinct value in X is considered a unique value.

Bootstrap geometric mean regression (bootstrap reduced majoraxis regression). in matlab

The following Matlab project contains the source code and Matlab examples used for bootstrap geometric mean regression (bootstrap reduced majoraxis regression). . The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling).

Sha algorithms 160,224,256,384.512 in matlab

The following Matlab project contains the source code and Matlab examples used for sha algorithms 160,224,256,384.512. Generates Message Digest using algorithms : SHA160, SHA-224, SHA256,SHA384,SHA512             Support for Bit Oriented Message             -- Enter Message Length in Bits             -- Either enter Message (HEX) or             -- generate a random message of length LEN in Bits             -- Select the Algorithm to generate MESG DIGEST                                LEN :: Enter Bit Oriented Message Length                     should be GT 0  

Estimation value at risk by using conditional copula garch in matlab

The following Matlab project contains the source code and Matlab examples used for estimation value at risk by using conditional copula garch. the copula111cGarch111VaR function estimate VaR (Value at Risk) of portfolio composed of two stocks return and extract number of violation of VaR The method of estimation is conditional copula- GARCH model.

Information theory toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for information theory toolbox. This toolbox contains functions for discrete random variables to compute following quantities: 1)Entropy 2)Joint entropy 3)Conditional entropy 4)Relative entropy (KL divergence) 5)Mutual information 6)Normalized mutual information 7)Normalized variation information This toolbox is a tweaked and bundled version of my previous submissions.

Knapsack problem in matlab

The following Matlab project contains the source code and Matlab examples used for knapsack problem. The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the count of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible.

Multi objective optimization using evolution strategies (es) as evolutionary algorithm (ea) in matlab

The following Matlab project contains the source code and Matlab examples used for multi objective optimization using evolution strategies (es) as evolutionary algorithm (ea). This function uses Evolution Strategies (ES) instead of Genetic Algorithms (GA) as Evolutionary Algorithm (EA) in the NSGA-II procedure for multi-objective optimization.

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