A motivation-following learning

Concerns a learning process in which the objective is to follow a primary motivation and is usually represented by the minimization of a sum-of-the-squared error. A motivation-following learning, especially suitable for the learning of a rapidly changing environment, is proposed to update the parameter vector of the modified multiblock network. Its advantages are online adaptation ability, simplicity of implementation, and steadily improved learning performance.