Search
New Code
The C# Excel Library 2020.5
dbForge Studio for MySQL 9.0
LinkedIn Clone 2.2
Uber clone Apps 4.0
Cab Booking Script 1.3.2
Airbnb Clone HomestayDNN 3.0
Magento Language switcher 1.2.1
The .Net PDF Library 2020.3.2
IP2Location Geolocation Database 2020.5
ODBC Driver for MailChimp 2.0
ODBC Driver for NetSuite 2.0
ODBC Driver for SQL Azure 3.1
dbForge Schema Compare for Oracle 4.1
dbForge Data Compare for Oracle 5.1
dbForge Studio for Oracle 4.1
Top Code
phpEnter 5.1.
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
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
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...