Changes in version 1.1-3                        

NEW FEATURES

    o   The new function combine makes predictions combining several
	neural networks possibly optimized with different classes.

    o   The new function tune.hann helps to choose the hyperparameters
	(number of hidden neurons and slope of the activation function).

    o   The new function hann is a wrapper for all types of neural
	nets. The new class "hann" has 'secondary' classes "hann1" or
	"hann3". There are several new methods: summary(), plot(),
	coef(), fitted(), str(), and labels().

    o   The optimized networks now include an element $fitted with the
	final signals, and an element $labels with the labels of the
	input classes.

    o   The new function binarize helps to prepare the binary patterns
	from vectors or matrices of numeric values (e.g., read from
	image files).

BUG FIXES

    o   A bug has been fixed in the calculations of gradients of hann3()
	so convergence should be improved (and faster).

    o   The internal code used to allocate new memory at each iteration:
	this is fixed.

OTHER CHANGES

    o   The internal code of hann3() has been optimised so it should be
	at least twice faster.

                  Changes in version 1.1 (2025-08-20)                   

    o   Included R_NO_REMAP in prototype_7.c.

                  Changes in version 1.0 (2025-07-25)                   

    o   Initial release on CRAN.

                         Changes in version 0.1                         

    o   Initial release on GitHub.