Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and have proven useful reliable in wide range classification regression problems, they still limitations. One most common is associated with optimization algorithm used to train them. The commonly training method stochastic gradient descent backpropagation (or for short) because it mathematically tractable (g...

With more stringent legislation on brominated flame retardants, it is expected that increasing amounts of substitutes would replace polybrominated diphenylethers (PBDEs). Therefore, the development and optimization of analytical methodologies that allow their identification and quantification are of paramount relevance. This work describes the optimization of an analytical procedure to determin...

Ocean renewable wave power is one of the more encouraging inexhaustible energy sources, with potential to be exploited for nearly 337 GW worldwide. However, compared other sources renewables, technologies have not been fully developed, and produced price as competitive that wind or solar technologies. In order commercialise ocean technologies, a wide range optimisation methodologies proposed in...

Abstract Wireless sensor network have also played a vital role in the observation and management of agricultural land terms climate, water usage, crops, etc. Due to open communication system low battery power sensors, sector still faces issues with energy consumption, information forwarding, privacy. Thus, an energy‐efficient routing during transmission WSN‐based smart agriculture is suggested ...

The design and optimization of liquid-fuel rocket engines is a major scientific and technological challenge. Despite some sixty years of continuous development, basic features such as flame length, flame stabilization, ignition or the occurrence of combustion instabilities are still difficult to predict. The numerical simulation of such flows is made particularly challenging by the extreme ther...

Abstract This paper proposes an enhanced orca predation algorithm (OPA) called the Lévy flight (LFOPA). LFOPA improves OPA by integrating (LF) strategy into chasing phase of and employing greedy selection (GS) at end each optimization iteration. enhancement is made to avoid entrapment local optima improve quality acquired solutions. a novel, efficient population-based optimizer that surpasses o...

Comprehensive assessments of the molecular characteristics breast cancer from gene expression patterns can aid in early identification and treatment tumor patients. The enormous scale data obtained through microarray sequencing increases difficulty training classifier due to large-scale features. Selecting pivotal features minimize high dimensionality complexity with improved detection accuracy...

Electrochemical machining (ECM) is a preferred advanced process for Monel 400 alloys. During the machining, toxic nickel hydroxides in sludge are formed. Therefore, it becomes necessary to determine optimum ECM parameters that minimize presence (NP) emission while maximizing material removal rate (MRR). In this investigation, predominant parameters, such as applied voltage, flow rate, and elect...

Rising energy prices, increasing maintenance costs, and strict environmental regimes have augmented the already existing pressure on contemporary manufacturing environment. Although decentralization of supply chain has led to rapid advancements in systems, finding an efficient supplier simultaneously from pool available ones as per customer requirement enhancing process planning scheduling func...

the flour moth, ephestia kuehniella zeller and indianmeal moth, plodia interpunctella (hubner) are reported as important pests of stored products in many countries throughout the world. in recent years harobracon hebetor (say) wasp has been employed as a biological control agent of the moths' larvae in peanut warehouses as well as in packaged cereal products. in this study the functional r...