designing a neural network for financial - kaastra&boyd
designing and implementing a neural network library for handwriting detection, image analysis etc
... INeuronStrategy, called BackPropNeuronStrategy (for a backward propagation neural
network) .
A Neural Network is initialized and connections betweens layers are made by a neural network factory. A Factory
should ... section explains how the training takes place, in a back ward propagation neural network. In a backward
propagation neural network, there are several...
Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc
... undermodulation range. A
simulated DSP-based modulator generates the data which are
used to train the network by a backpropagation algorithm in
the MATLAB Neural Network Toolbox. The performance of an
open-loop ... Table II and Fig. 4 for all the regions in the
six sectors. For example, the phase-
turn-on time expressions
in mode 1 can be derived as
-
for
for
for
for
fo...
Tài liệu A Backpropagation Neural Network for Computer Network Security doc
... values for N and N'. As an example, if N=5 and
N' = 1, then these values generate a space of 1029 times
larger than that of DES.
Artificial neural networks (ANNs): A neural network ... Chen, 2004. A novel
symmetric cryptography based on chaotic signal
generator and a clipped neural network. Advances
in Neural Networks-ISNN, Intl. Symp. Neural
Networks...
a neural network model for limb trajectory formation
... that the motor
strategy remains basically the same in both intact and
spinal animals. This result suggests that the basic
motor programs for this particular task are generated
at the spinal ... Kawato et al. (1988) studied the coordinate-
transformation problem and proposed an iterative
control learning algorithm. Our research dealt with a
sensory-motor transformation based on a...
Designing A Wireless Network
... and data services. Ergonomic factors may dictate that
voice services are maintained privately while data exchange and video
information is easily viewable from a specified distance, perhaps on ... working for Lucent, Andy ran a consulting company and a
regional ISP.
Andy is co-author of Building Cisco Remote Access Networks
(Syngress Publishing, ISBN: 1-9 2899 4-1 3-X). He is also...
Tài liệu Building a Cisco Network for Windows 2000 P2 doc
... a good idea to go ahead and put
the impossible down as a goal when a team member suggests a technology
need. Sometimes that so-called “impossible” feat is actually available as a
feature of a ... dis-
played router system and protocol data, facilitating a novice adminis-
trator’s ability to understand how the router is configured and working
StackMaker An application that an admi...
Tài liệu Building a Cisco Network for Windows 2000 P1 pdf
... was a teenager. He didn’t have a TV,
or a telephone, or a car, or a refrigerator, or a washing machine, or
running water aside from that at a hand-pumped well. By the time
he was my age (mid-30s), ... faced
with management applications that are proprietary and database systems
that are unable to interoperate; both situations hinder the addition of new
network services or resul...
Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
... computationally tractable for
large datasets and a good approximation to the
theoretically optimal method. The parser which
uses this approach outperforms both a genera-
tive model and a discriminative ... estimate for a PCFG takes the same
approach as our generative model trained with
a discriminative criteria. While he shows a
non-significant increase in performance over the...
Từ khóa:
- a neural network model of lexical organisation
- the role of the hidden layers in a neural network
- discriminative training of a neural network statistical parser
- designing a dns namespace for forests and domains
- designing a perimeter network
- designing a management strategy for coho vineyard
- designing a backup strategy for coho vineyard
- a neural substrate for improving motor function after stroke
- a neural network approach to compute the lyapunov apos s exponents