Radial BASIS Neural Network MATLAB

Radial basis function neural


We will define a learning rule as a procedure for modifying the weights and biases of a network. (This procedure may also be referred to as a training algorithm.) The learning rule is applied to train the network to perform some particular task. Learning rules in the MATLAB toolbox fall into two broad categories: supervised learning and unsupervised learning.

Those two categories were described in detail in previous chapter. The algorithm has been developed using supervised learning.

In supervised learning, the learning rule is provided with a set of examples (the training set) of proper network behaviour: where is an input to the network, and is the corresponding correct (target) output. As the inputs are applied to the network, the network outputs are compared to the targets. The learning rule is then used to adjust the weights and biases of the network in order to move the network outputs closer to the targets. The Radial Basis Function learning rule falls in this supervised learning category.


Linear networks can be trained to perform classification with the function NEWRB. NEWRB Design a radial basis network. Radial basis networks can be used to approximate functions. NEWRB adds neurons to the hidden layer of a radial basis network until it meets the specified mean squared error goal.

Source: Gesture Controlled Robot

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2005-01-12 07:32:11 by puro

Did the Romans curse Caligula, or only in historical retrospect?
"Forex trade volumes hit record levels
By Jennifer Hughes in New York
Published: January 11 2005 17:26 | Last updated: January 11 2005 17:26
Foreign exchange trading volumes leapt to record levels in the first week of 2005, according to EBS, the largest interbank trading platform, and the Chicago Mercantile Exchange.
Average daily volume for the week on EBS reached $162bn, up 21 per cent on the same week last year and considerably higher than the average of about $100bn. Total volumes for the week were $811bn.
Trading in FX products over the CME’s Globex electronic platform last week was up 182 per cent over the same period in 2004, and pit-traded options volumes were...

Online Chatter Affects Stock Returns  — Science Daily

... (now an assistant professor at the University of Houston) are publishing their study in the academic journal Marketing Science on how online chatter -- or user-generated content -- can predict stock market returns a few days ahead of time.

Maximizing the election-year boost  — InvestmentNews
Surprisingly, we can predict stock market performance with that degree of accuracy if we consider that over the past 21 presidential-election years, 18 have shown positive returns for the S&P 500. According to “Presidential Puzzle: Political Cycles and …

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