A neuron ‘k’ receives input from other five neurons, as 0.5, 1, 0.25, -1.25 and -2. The corresponding synaptic weights are -0.7, 0.2, -0.4, -0.2 and 2.1. Assume the bias as -1. Draw the computational model of neuron ‘k’. Calculate the linear output of the neuron. Find the output using Mc-Culloch Pitts model in activation function. Find the output using Sigmoid function, whereas the slope parameter is 2.
A neuron ‘k’ receives input from other five neurons, as 0.5, 1, 0.25, -1.25 and -2. The corresponding synaptic weights are -0.7, 0.2, -0.4, -0.2 and 2.1. Assume the bias as -1. Draw the computational model of neuron ‘k’. Calculate the linear output of the neuron. Find the output using Mc-Culloch Pitts model in activation function. Find the output using Sigmoid function, whereas the slope parameter is 2.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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- A neuron ‘k’ receives input from other five neurons, as 0.5, 1, 0.25, -1.25 and -2. The corresponding synaptic weights are -0.7, 0.2, -0.4, -0.2 and 2.1. Assume the bias as -1.
- Draw the computational model of neuron ‘k’.
- Calculate the linear output of the neuron.
- Find the output using Mc-Culloch Pitts model in activation function.
- Find the output using Sigmoid function, whereas the slope parameter is 2.
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