Training of artificial neural networks is an iterative process and the iteration continues until the error sum is converged to below a preset accep level.

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Quizplus · Accepted Answer

The statement is true. Training of artificial neural networks involves adjusting the weights and biases of the network based on the error between the predicted output and the actual output. The training process is iterated until the error reaches an acceptable level.

Training of Artificial Neural Networks Is an Iterative Process and the Iteration