Search
New Code
Vue Injector 3.3
Spectrum Analyzer pro Live 2019
Devart Excel Add-in for HubSpot 2.1
RentALLScript - Airbnb clone 2.2
SuiteCRM Theme Customization 7.11.6
iScripts NetMenus 3.1
iScripts EasyIndex 2.2
iScripts EasySnaps 2.0
Australia MyPost shipping For Magento 2 1.0.0
Australia Post eParcel For Magento 1.1.1
Source Control for SQL Server 2.0
Answers phpSoftPro 3.12
Exlcart 2.0
School College ERP 1.3.2
White-label Grocery Delivery App Solution 2.0
Top Code
Answers phpSoftPro 3.12
phpEnter 5.1.
Quick Maps For Dynamics CRM 3.1
Single Leg MLM 1.2.1
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Deals and Discounts Website Script 1.0.2
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
Code Listing by Will Dwinnell

Code 1-3 of 3   






Routine accepts input variables, binary target variable (0/1) and a small number of training parameters, and returns discovered coefficients for a single neuron.

Technical details:
Learning rule: incremental delta rule
Learning Rate: constant
Transfer function: logistic
Exemplar presentation order: random, by training epoch

Use 'help DeltaRule' for further details



Features of this implementation of LDA:
- Allows for >2 classes
- Permits user-specified prior probabilities
- Requires only base MATLAB (no toolboxes needed)
- Assumes that the data is complete (no missing values)
-...



This routine calculates the median squared error of a linear function, and can be used with fminsearch as a robust linear regression (see help LinearMedianSquaredError).

It should be very easy to extend the example code to handle...