An introduction to neural networks
This article discusses the basic features of neural nets and approaches to constructing them so you can apply them in your own coding.
Build an Indestructible Web-Hosted Brain
The problem with distributed computing is that everyone with the technology to reverse-engineer your crypto chip can listen to your broadcast and know exactly what you're trying to break. Build a robust distributed computing application that is opaque to observers "even those who have access to the source code" by attaching a simple neuron implementation to HTTP transport code.
Neural Networks: Understanding Using Visual Basic
This tutorial teached Neural Networks using Visual Basic. Neural Network or more appropriately Artificial Neural Network is basically a mathematical model of what goes in our mind(or brain). The brain of all the advanced living creatures consists of neurons, a basic cell, which when interconnected produces what we call Neural Network.
Speech recognition using Artificial Neural Networks (pdf)
This is indeed a new method of recognizing speech. This paper
describes how discrete speech is recognized (execution of voice
commands).This paper describes the two major steps in speech
recognition: 1) Feature Extraction 2) Pattern Classification
For the first part, lpc(linear predictive coding) is used and
for the 2nd part, ann (artificial neural network) is used.
Weave a neural net with Python
Neural nets, also known as artificial neural networks,
mathematically model bioelectrical networks in the brain.
Massively parallel and more inductive than deductive, they are
used for everything from voice and character recognition to
artificial intelligence. Python developer Andrew Blais
introduces you to the simplest of the neural nets, the Hopfield
-- and his net.py application gives you a hands-on opportunity
to explore its ability to reconstruct distorted patterns.
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