C implementation – Carlo Curino

Neural Network: implementing Counter Propagation

In this post i report a simple implementation of a Counter Propagation Neural Network.

As for the following examples i will post the goal is character recognition on a grid of pixels.

Noise is introduce to evaluate robustness of the approach.

Here we will present both implementation and performance evalu-

ation of an artiﬁcial neural network based on the Counter Propagation

applied to characters recognition.

This documentation provide full description of the approach and the results.

This is the source code for the neural network

In this post i report a simple implementation of a Hopfield Neural Network.

As for the following examples i will post the goal is character recognition on a grid of pixels.

Noise is introduce to evaluate robustness of the approach.

Here we will present both implementation and performance eval-

uation of an artiﬁcial neural network, namely the Hopﬁeld network

applied to characters recognition.

This documentation provide full description of the approach and the results.

This is the source code for the neural network

Searching algorithm are commonly exploited in the Artiﬁcial Intelligence ﬁeld,

here I present two simple implementations of the well known

algorithms: depth ﬁrst, breadth ﬁrst and depth limited for tree search. To

show this two simple game, the 8 puzzle game and a simple grid world

has been used.

This documentation provide a complete description of the steps and

here you can find the source code for the optimized version of the program.