Hardwired Model Calculation Unit for Real-Time RBF and MLP Inference

The patent segments the computational workload by separating the computationally intensive model calculations into dedicated hardware-based model calculation units (22) that operate independently from the microprocessor (21). This segmentation allows complex data-driven models to be calculated with high accuracy while offloading the computational burden from the main processor, thus resolving the contradiction between modeling accuracy and computing power requirements.

The patent implements a universal model calculation unit (22) that can calculate multiple types of data-driven functional models (Gaussian process models, RBF models, multilayer perceptron models) using a single hardware architecture. This multi-functional design achieves real-time calculation capability for various complex models while avoiding the need for separate dedicated hardware for each model type, thus resolving the contradiction between real-time calculation capability and device complexity.

The patent employs a dynamic configuration mechanism where the model calculation unit (22) can be selectively activated or deactivated based on operational requirements. The unit includes configurable components such as the RBF model calculation with adjustable support points and length scales, and the MLP model calculation with configurable neuron layers and activation functions. This dynamic configurability allows the hard-wired computing core to maintain high calculation speed while adapting to different model types and computational needs.