Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Visualizing processes in neural networks
IBM Journal of Research and Development
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Reduction of Visual Information in Neural Network Learning Visualization
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
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We propose framework for interactive learning of artificial neural networks. In this paper we study interaction during training of visualizable supervised tasks. If activity of hidden node in network is visualized similar way as are network outputs, human observer might deduce the effect of this particular node on the resulting output. We allow human to interfere with the learning process of network, thus he or she can improve the learning performance by incorporating his or her lifelong experience. This interaction is similar to the process of teaching children, where teacher observes their responses to questions and guides the process of learning. Several methods of interaction with neural network training are described and demonstrated in the paper.