nttrain.c File Reference

Implementation of backpropagation training for NeuroTIC networks. More...

#include "nttrain.h"
#include "ntactivation.h"
#include "ntcalculate.h"
#include "ntmemory.h"
#include <stdlib.h>
#include <string.h>
#include <math.h>

Include dependency graph for nttrain.c:

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Functions
void	newtraindata (traindata_t *train_data, net_s *net)
	Allocates memory for training data arrays.
attempts_t	backpropagation (net_s *net, traindata_t *train_data)
	Trains a network using backpropagation.

Detailed Description

Implementation of backpropagation training for NeuroTIC networks.

Provides functions to allocate training datasets and train feedforward networks using standard backpropagation.

Author

Oscar Sotomayor

Date

2026

Definition in file nttrain.c.

Function Documentation

backpropagation()

attempts_t backpropagation	(	net_s *	net,
		traindata_t *	train_data
	)

Trains a network using backpropagation.

Implements the backpropagation algorithm to train the network. For each training sample:

• Computes outputs via feedforward.
• Calculates errors for each neuron.
• Propagates deltas backward and updates weights and biases.
• Repeats until error is below tolerance or max_attempts is reached.

References feedforward(), net_s::layers, traindata_t::max_attempts, net_s::neurons, traindata_t::samples, and traindata_t::tolerance.

newtraindata()

void newtraindata	(	traindata_t *	train_data,
		net_s *	net
	)

Allocates memory for training data arrays.

Allocates memory for training data arrays.
Initializes in and results arrays based on the network structure and number of samples.

References net_s::layers, and traindata_t::samples.