@article{oai:nagasaki-u.repo.nii.ac.jp:00021094,
 author = {山田, 英二 and 泉, 勝弘 and 辻, 峰男 and 松尾, 大輔 and 小山, 純},
 issue = {47},
 journal = {長崎大学工学部研究報告},
 month = {Jul},
 note = {This paper presents a maximum power tracking control method for on-line identification of solar cell parameters using neural network technology. The characteristics of solar cell modules are variables of illumination and temperature of them. Therefore, to obtain characteristic equations of solar cell are required for estimation of optimal operating point. We estimate characteristic equations of solar cell using neural network. And, we can obtain optimal operating point using newton method from characteristic equations of solar cell. The solar power are converted into three-phase AC one by three-phase IGBT voltagetype PWM inverter., 長崎大学工学部研究報告 Vol.26(47) p. 185-190, 1996},
 pages = {185--190},
 title = {ニューラルネットによる太陽電池特性同定を用いた最大電力点追従制御の一方式},
 volume = {26},
 year = {1996}
}