Neural Networks with Memory in .NET framework

Encode QR Code 2d barcode in .NET framework Neural Networks with Memory
Neural Networks with Memory
QR-Code Decoder In .NET Framework
Using Barcode Control SDK for .NET framework Control to generate, create, read, scan barcode image in .NET applications.
selector output v does not match S, the sign of the learning rate lrate in Eq (6-39) is reversed
QR Code ISO/IEC18004 Creation In VS .NET
Using Barcode printer for Visual Studio .NET Control to generate, create QR Code ISO/IEC18004 image in VS .NET applications.
6-20 Counterpropagation Networks Hecht-Nielsen s counterpropagation network (Fig 6-5; [21]) feeds the binary-selector output v of a competitive-layer classifier to an outstar layer programmed with
QR Decoder In .NET
Using Barcode recognizer for .NET framework Control to read, scan read, scan image in VS .NET applications.
Vector y = U * v U may be known from a separate computation, or it can be LMS-trained to associate a desired output vector y = target with each pattern input x U can
Print Barcode In .NET Framework
Using Barcode creation for VS .NET Control to generate, create bar code image in .NET framework applications.
be trained during or after the competitive learning process Counterpropagation networks usually approximate regression more quickly than backpropagation networks But the resulting approximation y is not continuous: y can take only n different values, where n is the chosen number of template vectors These values will be spaced most closely in regions corresponding to frequent inputs (Fig 6-8) Radial-basis-function networks (Section 6-13b) with competitive basis-center learning are, in effect, counterpropagation networks with built-in interpolation Reference [17] shows some examples
Recognizing Bar Code In .NET Framework
Using Barcode decoder for .NET framework Control to read, scan read, scan image in VS .NET applications.
NEURAL NETWORKS WITH MEMORY 6-21 Neural Networks and Memory With all connection-weight values set, the neural networks programmed in Sections 6-1 to 6-20 are static function generators A time series x = x(t) of input patterns produces corresponding output patterns y = y(t) without memory of past inputs or outputs Neural-network training or adaptation to changing patterns, though, implies memory, as the network output feeds back to the connection weights Such adaptation is normally slow relative to input-signal changes (low values of lrate for stable learning, Section 6-9), and this type of neural-network memory is referred to as long-term memory Short-term memory converts some neuron activations into state variables related to past values of inputs or other neuron activations Such neural networks are not static function generators; they are dynamic systems (filters) Their connection weights can learn to recognize pattern sequences, or learn to
Draw Denso QR Bar Code In Visual C#.NET
Using Barcode printer for .NET Control to generate, create Quick Response Code image in VS .NET applications.
Vector Models of Neural Networks +
QR Code Maker In .NET
Using Barcode creation for ASP.NET Control to generate, create QR Code ISO/IEC18004 image in ASP.NET applications.
10 scale = 1 +
Making QR In Visual Basic .NET
Using Barcode encoder for .NET framework Control to generate, create Denso QR Bar Code image in .NET applications.
05
Barcode Printer In .NET
Using Barcode printer for Visual Studio .NET Control to generate, create barcode image in .NET framework applications.
00 x[1],y[1],target
Make Data Matrix ECC200 In Visual Studio .NET
Using Barcode maker for Visual Studio .NET Control to generate, create Data Matrix 2d barcode image in VS .NET applications.
10 scale = 1
Paint Bar Code In .NET
Using Barcode drawer for Visual Studio .NET Control to generate, create barcode image in .NET applications.
05
RM4SCC Maker In Visual Studio .NET
Using Barcode printer for Visual Studio .NET Control to generate, create RoyalMail4SCC image in VS .NET applications.
00 x[1],y[1],target
EAN13 Maker In Java
Using Barcode generator for Java Control to generate, create EAN13 image in Java applications.
FIGURE 6-8 Counterpropagation learning of a sine-wave input Note that the output is a step function
Recognize ECC200 In .NET
Using Barcode decoder for .NET Control to read, scan read, scan image in .NET applications.
Neural Networks with Memory
Barcode Printer In Java
Using Barcode drawer for Java Control to generate, create barcode image in Java applications.
match the outputs of a dynamic (state-equation) model fed a given sample of input signals (model matching, a generalization of regression) Short-term memory takes different forms, which can also be combined: tapped delay lines (shift registers) feeding neuron layers or individual neurons neurons modeled by difference-equation systems or differential-equation systems feedback to preceding neuron layers (recurrent neural networks) Much of this large subject is still in the research stage [7,14,36] As before, we present no exhaustive treatment but point out examples where our compact vector models can be helpful 6-22 Networks with a Delay-line Input Layer
Making Data Matrix In C#.NET
Using Barcode creator for .NET framework Control to generate, create Data Matrix 2d barcode image in Visual Studio .NET applications.
(a) Vector Model of a Tapped Delay Line
Code 128A Creation In VS .NET
Using Barcode maker for ASP.NET Control to generate, create USS Code 128 image in ASP.NET applications.
In Figure 6-9, a static neural network reads the activations x[1], x[2], , x[nx] of a tapped-delay-line layer fed with a scalar function s(t) of the trial number t To implement the nx-stage delay line, we declare an nx-dimensional vector x in the experiment protocol and program the DYNAMIC-segment assignments
Printing Barcode In Java
Using Barcode generation for Java Control to generate, create bar code image in Java applications.
Vector x = x{ 1} | x[1] = s(t)
Bar Code Maker In Visual Basic .NET
Using Barcode creation for .NET Control to generate, create bar code image in Visual Studio .NET applications.
(6-45)
Making Data Matrix 2d Barcode In .NET
Using Barcode drawer for ASP.NET Control to generate, create ECC200 image in ASP.NET applications.
The order of these two assignments is significant The current value of the input signal s(t) is read after the index-shift operation (Section 3-6) has
s(t) y = y(t) x[1] x[2] x[3] static neural network
x[nx]
FIGURE 6-9 A delay-line layer feeding a static neural network Either a simple tapped delay line or a gamma delay line can be used
Vector Models of Neural Networks
NN=5 ARRAY x[4] drun -----------------------------------------DYNAMIC -----------------------------------------Vector x = x{-1} | x[1] = t type x[1], x[2], x[3], x[4] t 100000e+00 200000e+00 300000e+00 400000e+00 500000e+00 x[1] 100000e+00 200000e+00 300000e+00 400000e+00 500000e+00 x[2] 000000e+00 100000e+00 200000e+00 300000e+00 400000e+00 x[3] 000000e+00 000000e+00 100000e+00 200000e+00 300000e+00 x[4] 000000e+00 000000e+00 000000e+00 100000e+00 200000e+00
FIGURE 6-10 This small program illustrates the operation of a tapped delay line by listing x[1], x[2], at successive sampling times t = 1, 2, Note that each new value of the input is read after the line shifts
shifted earlier samples of s(t) into successive delay-line neurons,16 so that (Fig 6-10)
x[1] = s(t), x[2] = s(t COMINT), x[3] = s(t 2 COMINT),
As noted in Section 6-5, COMINT = TMAX/(NN 1) automatically defaults to 1 and t = 1, 2, if t0 and TMAX are not specified