Hopfield neural network for the optimal cost

This paper investigates the energy function of Hopfield neural network. The Hopfield energy function converges to the minimal. It is proposed for the optimal cost of production functions which provide the marginal cost for the unit price of the product. The two simple examples of production functions are used for Hopfield energy convergence. The examples confirm the convergence of production costs within their isoquants. The production costs continue to decrease up to the point where they cannot decrease any more. Those are the points of the optimal costs, from which we obtain the marginal cost to be inserted automatic into the formula for the calculation of the selling price of the product.