Final Project: Parallel unsupervised learning with neural data

نویسنده

  • Amir Khosrowshahi
چکیده

This note is an accompaniment to my poster for my class project. Despite its seeming length, it attempts to be as brief as is reasonable, explaining the figures in greater detail and providing additional computational details most relevant to the subject of the course.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

متن کامل

INTEGRATED ADAPTIVE FUZZY CLUSTERING (IAFC) NEURAL NETWORKS USING FUZZY LEARNING RULES

The proposed IAFC neural networks have both stability and plasticity because theyuse a control structure similar to that of the ART-1(Adaptive Resonance Theory) neural network.The unsupervised IAFC neural network is the unsupervised neural network which uses the fuzzyleaky learning rule. This fuzzy leaky learning rule controls the updating amounts by fuzzymembership values. The supervised IAFC ...

متن کامل

Strategies for Parallelizing Supervised and Unsupervised Learning in Arti cial Neural Networks Using the BSP Cost Model

We use the cost system of BSP (Bulk Synchronous Parallelism) to predict the performance of three di erent parallelization techniques for both supervised and unsupervised learning in arti cial neural networks. We show that exemplar parallelism outperforms techniques that partition the neural network across processors, especially when the number of exemplars is large, typical of applications such...

متن کامل

Strategies for Parallelizing Supervised and Unsupervised Learning in Artiicial Neural Networks Using the Bsp Cost Model

We use the cost system of BSP (Bulk Synchronous Parallelism) to predict the performance of three diierent parallelization techniques for both supervised and unsupervised learning in artiicial neural networks. We show that exemplar parallelism outperforms techniques that partition the neural network across processors, especially when the number of exemplars is large, typical of applications such...

متن کامل

Application of Wavelet Neural Network in Forward Kinematics Solution of 6-RSU Co-axial Parallel Mechanism Based on Final Prediction Error

Application of artificial neural network (ANN) in forward kinematic solution (FKS) of a novel co-axial parallel mechanism with six degrees of freedom (6-DOF) is addressed in Current work. The mechanism is known as six revolute-spherical-universal (RSU) and constructed by 6-RSU co-axial kinematic chains in parallel form. First, applying geometrical analysis and vectorial principles the kinematic...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010