Abstract: A method includes selecting artificial neural network parameters; sampling the parameters; selecting connection weights; initializing the artificial neural networks; running the artificial neural networks on cognitive tasks; and determining whether activity is within an acceptable range. A computing system includes a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to select artificial neural network parameters; sample the parameters; select connection weights; initialize the artificial neural networks; run the artificial neural networks on cognitive tasks; and determine whether activity is within an acceptable range.

Abstract: A variety of arrangements and methods relating to a solar water heating system are described. Various implementations involve a relatively lightweight, affordable, low-pressure solar water heating system that is easier to ship and assemble and that is resistant to overheating and freezing damage. In one aspect of the invention, a solar water heating system includes a solar collector panel, a piping system and an improved, self-regulating expansion reservoir. Some designs involve automatic filtration, push fittings, a method for regulating power from a photovoltaic panel, UV resistant polymer components and/or other features. In a particular embodiment of the invention, multiple pumps, a heat exchanger and a controller for a solar water heating system are integrated into a single, compact module.