Optimization of Conductance Change in Pr1–xCaxMnO3-Based Synaptic Devices for Neuromorphic Systems


The optimization of conductance change behavior in synaptic devices primarily based on analog resistive memory is studied for the utilization in neuromorphic systems. Resistive memory based on Pr1-xCaxMnO3 (PCMO) is applied to a neural network application (classification of Modified National Institute of Standards and Technology handwritten digits employing a multilayer perceptron trained with backpropagation) beneath a large choice of simulated conductance change behaviors. Linear and symmetric conductance changes (e.g., self-similar response throughout both increasing and decreasing device conductance) are shown to supply the highest classification accuracies. Further improvements will be obtained using nonidentical coaching pulses, at the value of requiring measurement of individual conductance during training. Such a system can be expected to realize, with our existing PCMO-based synaptic devices, a generalization accuracy on a previously-unseen test set of 90.fifty fivepercent. These results are promising for hardware demonstration of high neuromorphic accuracies using existing synaptic devices.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Complex Queries Optimization and Evaluation over Relational and NoSQL Data Stores in Cloud Environments - 2018ABSTRACT:The production of giant quantity of data and the emergence of cloud computing have introduced
PROJECT TITLE :CaL: Extending Data Locality to Consider Concurrency for Performance Optimization - 2018ABSTRACT:Massive information applications demand a higher memory performance. Information Locality has been the main target
PROJECT TITLE :Generalized Nested Array: Optimization for Degrees of Freedom and Mutual Coupling - 2018ABSTRACT:In this letter, we have a tendency to propose a generalized nested array (GNA) with 2 flexible co-prime factors for
PROJECT TITLE :An Ant Colony Optimization Based Approach for Minimum Cost Coverage on 3-D Grid in Wireless Sensor Networks - 2018ABSTRACT:The application of swarm intelligence algorithms to wireless sensor networks (WSNs) deployment
PROJECT TITLE :A Successive Optimization Approach to Pilot Design for Multi-Cell Massive MIMO Systems - 2018ABSTRACT:During this letter, we tend to introduce a completely unique pilot design approach that minimizes the entire

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry