Abstract
With the development of recent science and technology, our daily life has been filled with high-performance and highquality products. In this background, we are requiring new technologies with our Kansei or sense. Various researches are tried to reflect human sense in engineering. One of them, we notice the human light adaptation, and construct the model for subjective brightness with time varying. This paper presents a human light adaptation model using a dynamic neural network. The input of this model is the light intensity steps which are exposed to examinee's eyes. The output is human subjective brightness with time varying. As the result of analyzing the synaptic weights of the neurons after training, we confirmed that the model obtained some functions which agree well with the human optical nerve system.
