Abstract: A process for the preparation of water gas shift catalyst is described. The process includes mixing a copper salt and a zinc salt with an aluminum component in a solution, precipitating a precipitate from the solution, drying an forming the precipitate into the water gas shift catalyst. In an alternate process the aluminum component is prepared separately from the solution of the copper salt and the zinc salt prior to the mixing of the components. After the components are mixed a precipitate is precipitated from the solution, the precipitate is dried and formed into the catalyst.

Abstract: A low temperature copper/zinc/aluminum water gas shift catalyst is described. The catalyst is formed from a precursor, wherein the precursor includes aluminum in the form of hydrotalcite and aluminum separate from the hydrotalcite. A method of making the catalyst and a process for using the catalyst are also described.

Abstract: A neural network is implemented by discrete-time, continuous voltage state analog device in which neuron, synapse and synaptic strength signals are generated in highly parallel analog circuits in successive states from stored values of the interdependent signals calculated in a previous state. The neuron and synapse signals are refined in a relaxation loop while the synaptic strength signals are held constant. In learning modes, the synaptic strength signals are modified in successive states from stable values of the analog neuron signals. The analog signals are stored for as long as required in master/slaver sample and hold circuits as digitized signals which are periodically refreshed to maintain the stored voltage within a voltage window bracketing the original analog signal.