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Neural Networks XOR Example

Neural Networks XOR Example

Why hello there, internet! I am Patrick Mineault, grad student at the Pack lab, long time blogger over at xcorr.net and first time contributor here. I was recently at the Cold Spring Harbour Computational Vision summer couse. Two wonderful science-filled weeks with some very smart people; I’ve discussed a lot of the course content already on my own blog. Nicole Rust delivered a lecture on neural transformations from IT to perirhinal, which I think …

Face Recognition Neural Networks MATLAB

Face Recognition Neural Networks MATLAB

Face Detection using Gabor feature extraction and neural network . Need a MATLAB code for 'online face recognition using fuzzy ART'. 11 Feb 2012; CNN. Morphological Shared-Weight Neural Network for Face Recognition. by Ethan Png. Neural Network Toolbox. MATLAB release; MATLAB 7.10 (R2010a).

Artificial Neural Networks Invasive species

Artificial Neural Networks Invasive species

These are the teeth of an undescribed, new species of toothed baleen whale in the genus Morawanocetus, from Orange County, California. Image courtesy of Meredith Rivin, Dr. John D. Cooper Archaeological and Paleontological Center Paleontologists in California announced this week that fossils excavated in the early 2s represent four new species of ancient whales. The toothed baleen whales apparently stuck around longer than scientists once thought …

Neural Networks Workshop 2012

Neural Networks Workshop 2012

This workshop will introduce participants to R, giving both general overview of R and specific skills. Topics will include: R Program Language Control Statement Loop Loop for non-vector if-else statement Operator Default Value Return Value return() Functions Anonymous Function Self-define Binary Operators Environment and Scope Senior Environment Scope How to use global variable? Inter scopes operation Closure R input/output Import and export files …

Artificial Neural Networks regression

Artificial Neural Networks regression

Modeling belief systems with scale-free networks. (arXiv:0807.0517v1 [cs.AI]) Evolution of belief systems has always been in focus of cognitive research. In this paper we delineate a new model describing belief systems as a network of statements considered true. Testing the model a small number of parameters enabled us to reproduce a variety of well-known mechanisms ranging from opinion changes to development of psychological problems. The self-organizing …

Block based neural networks

Block based neural networks

This is one of my articles about neural networks published in Latvia in 2006. I hope someone may find it useful. Computer Modeling and New Technologies, 2006, Vol.10, No.4, 66–69 Transport and Telecommunication Institute, Lomonosova 1, Riga, Latvia As a rule complex modern manufacture systems controlling makes their operators take important decisions what can be rather difficult when there are many alternatives. Such situations require developing …

Neural Networks bias input

Neural Networks bias input

A layer in a neural network without a bias is nothing more than the multiplication of an input vector with a matrix. (The output vector might be passed.

Pure Data Neural Networks

Pure Data Neural Networks

Extend the Pd bindings to the Fast Artificial Neural Network library ( FANN) and include new FANN features like self organizing maps, growing neural gas and. "Real-time gesture mapping in Pd environment using Neural Networks" Arshia Cont, Thierry Coduys and Cyrille Henry. New Interfaces for Musical Expressions.