Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes elements necessary for a general-purpose low-cost very large scale integration (VLSI) neural network. By choosing a learning algorithm that is tolerant of analog nonidealities, the promise of high-density analog VLSI is realized. A 64-synapse, 8-neuron proof-of-concept chip is described. The synapse, which occupies only 4900 /spl mu/m/sup 2/ in a 2-/spl mu/m technology, includes a hybrid of nonvolatile and dynamic ight storage that provides fast and accurate learning as ll as reliable long-term storage with no refreshing. The architecture is user-configurable in any one-hidden-layer topology. The user-interface is fully microprocessor compatible. Learning is accomplished with minimal external support; the user need only present inputs, targets, and a clock. Learning is fast and reliable. The chip solves four-bit parity in an average of 680 ms and is successful in about 96% of the trials.
['Antonio Montalvo', 'Ronald S. Gyurcsik', 'John J. Paulos']
I am writing a research paper on a idea Toward a general-purpose analog VLSI neural network with on-chip learning
[{"from": "human", "value": "I am writing a research paper on a idea Toward a general-purpose analog VLSI neural network with on-chip learning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes elements necessary for a general-purpose low-cost very large scale integration (VLSI) neural network. By choosing a learning algorithm that is tolerant of analog nonidealities, the promise of high-density analog VLSI is realized. A 64-synapse, 8-neuron proof-of-concept chip is described. The synapse, which occupies only 4900 /spl mu/m/sup 2/ in a 2-/spl mu/m technology, includes a hybrid of nonvolatile and dynamic ight storage that provides fast and accurate learning as ll as reliable long-term storage with no refreshing. The architecture is user-configurable in any one-hidden-layer topology. The user-interface is fully microprocessor compatible. Learning is accomplished with minimal external support; the user need only present inputs, targets, and a clock. Learning is fast and reliable. The chip solves four-bit parity in an average of 680 ms and is successful in about 96% of the trials."}]