Higher-order decision surfaces in neural nets

Several recent advances are described that use neural-network methods to produce the higher-order decision surface required for difficult pattern recognition discrimination problems. Work at Carnegie Mellon University is emphasized and includes new hyperspherical Ho-Kashyap neural nets and new piecewise quadratic neural nets. Also addressed are Fourier neural-net interconnections to handle multiple objects and achieve morphological, image processing, and enhancement functions.<
>