vb.net barcode reader free Intelligent Behavior in Software

Creator ANSI/AIM Code 128 in Software Intelligent Behavior

Intelligent Behavior
ANSI/AIM Code 128 Decoder In None
Using Barcode Control SDK for Software Control to generate, create, read, scan barcode image in Software applications.
Encoding Code 128 In None
Using Barcode generator for Software Control to generate, create Code 128A image in Software applications.
Fig. 17-12.
Recognizing Code 128C In None
Using Barcode scanner for Software Control to read, scan read, scan image in Software applications.
ANSI/AIM Code 128 Drawer In C#.NET
Using Barcode generation for VS .NET Control to generate, create Code 128 image in Visual Studio .NET applications.
McCulloch-Pitts computational neuron.
Code 128 Code Set B Drawer In Visual Studio .NET
Using Barcode maker for ASP.NET Control to generate, create Code 128B image in ASP.NET applications.
Generate Code 128A In .NET
Using Barcode maker for Visual Studio .NET Control to generate, create ANSI/AIM Code 128 image in VS .NET applications.
For the dot product to give a result between 0.0 and 1.0, both the input vector and the weight vector need to be normalized, so they each have a length of 1. What does it mean for a vector to have a length The list of numbers in the vector represents one end of a line in an unusual multidimensional space. The other end is at the origin, where all values equal 0. The length is calculated as: q X 17-7 x i 2 L You will recognize this as a generalized version of the equation for a line s length, or a distance measurement, in three-dimensional space: q 17-8 L x2 y2 z2 To normalize the vector, divide each element of the vector by the vector s length: x i x i L 17-9
Code 128 Code Set A Generator In VB.NET
Using Barcode generator for Visual Studio .NET Control to generate, create Code 128A image in .NET applications.
Making UCC-128 In None
Using Barcode generation for Software Control to generate, create GS1-128 image in Software applications.
where L is the length calculated in equation (17-7). The ability to normalize a set of values is handy. Normalization scales things to a consistent range of values, and makes a number of mathematical operations behave better. All of this is a fancy way of testing a list of input numbers against a template, and then returning a value that indicates how closely they match. Several neurons, each with its own template, can be watching the same input values (Fig. 17-13). The output from all of these neurons will probably show that one of them is the best match against the input. This result can be used to trigger an appropriate action.
Barcode Printer In None
Using Barcode printer for Software Control to generate, create bar code image in Software applications.
Code 128B Drawer In None
Using Barcode generator for Software Control to generate, create Code 128A image in Software applications.
CHAPTER 17 Intelligent Behavior
Generate USS Code 39 In None
Using Barcode maker for Software Control to generate, create Code 39 image in Software applications.
Barcode Printer In None
Using Barcode encoder for Software Control to generate, create bar code image in Software applications.
Fig. 17-13.
Paint Intelligent Mail In None
Using Barcode drawer for Software Control to generate, create OneCode image in Software applications.
Print Bar Code In Java
Using Barcode creation for BIRT Control to generate, create barcode image in BIRT applications.
Simple neural network.
Encode Barcode In None
Using Barcode drawer for Microsoft Word Control to generate, create bar code image in Word applications.
Data Matrix 2d Barcode Creation In .NET
Using Barcode printer for Reporting Service Control to generate, create DataMatrix image in Reporting Service applications.
Note that the set of outputs creates a pattern that could itself be interpreted by one or more additional neurons. A second layer of neurons abstracts the result. It is like the eye seeing a pattern of colors and recognizing it as fluffy. The next layer might abstract that into the concept of cat, and the next might know it as a mammal, then an animal. (This example oversimplifies a complex problem, and does the neural network something of a disservice by anthropomorphizing it.) Given these simple computing units, the field of neural networks proceeds to find various ways to connect them to give useful results. While the patterns in the neurons can be set by hand, it is often more useful for the neural network to be trained against example data, or even self-trained by turning it loose in its environment. Networks that have been trained against examples can find patterns in the data, perhaps even patterns that the programmer would not have noticed. If trained correctly, the networks are also resistant to noise. The information coming into the network can be incomplete or even partially wrong, and the network will be able to recognize it.
Encoding ECC200 In Objective-C
Using Barcode creator for iPhone Control to generate, create Data Matrix 2d barcode image in iPhone applications.
Barcode Generator In VS .NET
Using Barcode generator for ASP.NET Control to generate, create bar code image in ASP.NET applications.
Summary
Generate GS1-128 In .NET Framework
Using Barcode maker for Visual Studio .NET Control to generate, create USS-128 image in .NET applications.
Scanning ECC200 In None
Using Barcode recognizer for Software Control to read, scan read, scan image in Software applications.
This chapter provided a brief tour through several levels of behavioral control. At the bottom of the intelligence scale were the reflexive controls, exemplified by the PID industrial control formula. These reflexes use sensory feedback to keep the lowest level of the robot, the motors and other actuators, on track.
Intelligent Behavior
Different behaviors and reflexes can be combined and coordinated at the middle level. The simplest form of coordination is the simple serial, scripted manager that selects behaviors one at a time until the task is complete. The subsumption architecture provides a parallel approach, allowing the different behaviors to override each other as needed, or as triggered by their environment. This architecture is a useful middle-level control for mobile robots. At a higher level of abstraction, formal logical systems can provide a framework to manage knowledge. While this appears to be a bit too abstract for robot control, it can have a place. Can you think of a way that logic can be used by a robot One of the harder problems to solve in robot control is recognizing a particular object or situation, so the robot can change its behavior appropriately. Heuristics, statistics, and natural computation in the form of neural networks are all technologies that address this pattern-matching problem.
Copyright © OnBarcode.com . All rights reserved.