Sketch the optimal decision boundary

Reference no: EM131310570

We have two categories of vectors. Category I consists of

Category II consists of

We want to train a single-neuron ADALINE network without a bias to recognize these categories (t = 1 for Category I and t = -1 for Category II). Assume that each pattern occurs with equal probability.

i. Draw the network diagram.

ii. Take four steps of the LMS algorithm, using the zero vector as the initial guess. (one pass through the four vectors above - present each vector once). Use a learning rate of 0.1.

iii. What are the optimal weights?

iv. Sketch the optimal decision boundary.

v. How do you think the boundary would change if the network were allowed to have a bias? If the boundary would change, indicate the approximate new position on your sketch of part iv. You do not need to perform any calculations here - just explain your reasoning.

Reference no: EM131310570

Questions Cloud

Discuss the sensitivity of the network : The objective is to train a network so that it will classify the six patterns into the appropriate T, G or F groups.

What are the price-features-sales service in area : How much more productive is Toyota Prius Hybrid than say Corolla? in terms of price, maintenance, fuel efficiency. What are the price, features, sales service in your area? Is it true that electric car the engine is bigger than the regular car and ..

Public cloud development presentation : Public Cloud Development Presentation - Your company is considering a move to Microsoft Azure or Amazon Web Services to host a web-based application

Analyze any trends and state which offense type shows : Comment with explanations on the results of the data presented for each offense type.Analyze any trends and state which offense type shows the greatest discrepancy between the two data sources.Given the nature of the data sources, describe why you t..

Sketch the optimal decision boundary : We want to train a single-neuron ADALINE network without a bias to recognize these categories (t = 1 for Category I and t = -1 for Category II). Assume that each pattern occurs with equal probability.

Language prototype as interface design prototyping : Briefly explain Storyboard, HTML Prototype and Language Prototype as Interface design Prototyping. Which prototyping technique(s) will work best if analyst want to be closer to the final version of interface design.

What could the companies learn from each other : How the companies' EOC policies and practices create advantages or disadvantages for their sustainability and growth?What could the companies learn from each other?Which company would you find more attractive as a potential employee? Why?

Term paper-crowdsourcing : Crowdsourcing in the field of interface design takes tasks traditionally performed by specific individuals and spreads them out among a group of people or a community. These assignments are usually done through an open call. Crowdsourcing has beco..

What are some of the drawbacks : What are some of the benefits of having U.S. courts operate under an adversarial system? What are some of the drawbacks?

User Account

All Pages