A Platform for Parallel Operation of VLSI Neural Networks
نویسندگان
چکیده
This paper presents a platform for the parallel operation of VLSI neural networks allowing to seamlessly map neural network topologies on distributed resources. The scalable approach provides fast isochronous communication channels transporting the neuron signals between single network modules. The network modules are printed circuit boards hosting a programmable logic with an embedded microprocessor core, memory, and a VLSI neural network ASIC. Currently, the modules are equipped with a mixed-signal neural network ASIC. For its McCulloch-Pitts type neurons a biologically inspired higher-level model of perception is adopted and demonstrated.
منابع مشابه
Forward kinematic analysis of planar parallel robots using a neural network-based approach optimized by machine learning
The forward kinematic problem of parallel robots is always considered as a challenge in the field of parallel robots due to the obtained nonlinear system of equations. In this paper, the forward kinematic problem of planar parallel robots in their workspace is investigated using a neural network based approach. In order to increase the accuracy of this method, the workspace of the parallel robo...
متن کاملA VLSI Implementation of Mixed-Signal mode Bipolar Neuron Circuitry
Abstract —Neuron circuits have parallel operation features. VLSI implemented Neuron networks are suitable for high speed and low power consumption applications. Digital implementations have good noise immunity while analog neuron circuits have smaller size. This paper presents a mixed-signal neuron design. It uses digital input, output, and weight signals while keeps analog internal operation. ...
متن کاملKinematic Synthesis of Parallel Manipulator via Neural Network Approach
In this research, Artificial Neural Networks (ANNs) have been used as a powerful tool to solve the inverse kinematic equations of a parallel robot. For this purpose, we have developed the kinematic equations of a Tricept parallel kinematic mechanism with two rotational and one translational degrees of freedom (DoF). Using the analytical method, the inverse kinematic equations are solved for spe...
متن کاملEngineering Application Of Correlation on Ann Estimated Mass
A functional relationship between two variables, applied mass to a weighing platform and estimated mass using Multi-Layer Perceptron Artificial Neural Networks is approximated by a linear function. Linear relationships and correlation rates are obtained which quantitatively verify that the Artificial Neural Network model is functioning satisfactorily. Estimated mass is achieved through recallin...
متن کاملApplication of Wavelet Neural Network in Forward Kinematics Solution of 6-RSU Co-axial Parallel Mechanism Based on Final Prediction Error
Application of artificial neural network (ANN) in forward kinematic solution (FKS) of a novel co-axial parallel mechanism with six degrees of freedom (6-DOF) is addressed in Current work. The mechanism is known as six revolute-spherical-universal (RSU) and constructed by 6-RSU co-axial kinematic chains in parallel form. First, applying geometrical analysis and vectorial principles the kinematic...
متن کامل