초록 ▼

A potential estimation apparatus estimates a potential of a photosensitive body of an image forming apparatus that carries out an electro-photography process using the photosensitive body. The potential estimation apparatus includes a sensor group for sensing and outputting data related to informati

A potential estimation apparatus estimates a potential of a photosensitive body of an image forming apparatus that carries out an electro-photography process using the photosensitive body. The potential estimation apparatus includes a sensor group for sensing and outputting data related to information which affects the electro-photography process, a storage unit for at least storing the data output from the sensor group and information related to charge of the photosensitive body, and an estimation circuit including a neural network for estimating a charged portion potential of the photosensitive body based on a charge retentivity of the photosensitive body learned by the neural network. The neural network in a learning mode receives at least one of the data output from the sensor group and time-sequentially sampled, and parameters which affect the charge retentivity of the photosensitive body as an input, and receives as a teaching value a charged portion potential which is obtained in advance with respect to at least an amount of charge and the charge retentivity of the photosensitive body.

대표청구항 ▼

A potential estimation apparatus which estimates a potential of a photosensitive body of an image forming apparatus that carries out an electrophotography process using the photosensitive body, said potential estimation apparatus comprising: sensor means for sensing and outputting data related to in

A potential estimation apparatus which estimates a potential of a photosensitive body of an image forming apparatus that carries out an electrophotography process using the photosensitive body, said potential estimation apparatus comprising: sensor means for sensing and outputting data related to information which affects the electrophotography process; storage means for at least storing the data output from said sensor means and information related to charge of the photosensitive body; and estimation means, including a first neural network coupled to said sensor means and said storage means, for estimating a charged portion potential of the photosensitive body based on a charge retentivity of the photosensitive body learned by said first neural network, said first neural network in a learning mode receiving at least one of the data output from said sensor means and time-sequentially sampled, and parameters which affect the charge retentivity of the photosensitive body as an input, and receiving as a teaching value a previously estimated charged portion potential with respect to at least an amount of charge and the charge retentivity of the photosensitive body, wherein the charged portion potential is estimated from a relationship between the amount of charge and a charged portion potential within a past predetermined time.