Revealing an OSELM based on traversal tree for higher energy adaptive control using an efficient solar box cooker

The solar cooker represents a challenging scientific design. Its non-regular rechargeable system and the restriction imposed by required availability quantity are main issues. use of bar plate coated with nanolayer materials helps to stimulate control multifaceted performances for vessels. Further, it was noted that traditional human methods not capable an efficient design thermal applications, because environment cannot adapt variable source. To overcome these challenges, we have used approaches adaptive neural network-based controls which further consider other parameters as smaller family, measured conjunction, enormous period feeding below performances. Therefore, novel based on through online Sequential Extreme Learning Machine (OSELM) is presented discussed. OSELM enables also detect off-line physical activity process. proposed includes (SiO2/TiO2 nanoparticles) responsible accelerated energy absorption. feasibility scheme validate this study calculation extensive heat transfer By using furious SiO2/TiO2 nanoparticles Stepped (SSBC) efficiency increased 37.69% 49.21% 10% 15% volume fractions nanoparticles.