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The coefficients W[i, k] are connection weights and f() is a neuron activation function The input and output activations are real-valued features (components) of pattern vectors x (x[1], x[2], , x[nx]) and v (v[1], v[2], , v[ny]) Typical pattern features are measurement values, image-point intensities, or attributes of an employee, customer, or merchandise item Pattern vectors admit component-wise addition and multiplication by scalars Euclidean or taxicab norms ||x|| of pattern vectors are defined as in Section 3-7b Neural-network models combine various types of network layers to produce output patterns as functions y = y(x) of an input pattern We must adjust the connection weights so that the network matches given inputs x with desired output patterns y The neural network is trained for such a task with a training sample of known pairs x, y ( supervised learning ) Each training step computes y(x) and appropriately modifies connection weights as functions of current and past y[i] values After the weights are adjusted, we test the neural network with test samples before using it in applications DESIRE vector operations produce concise and efficient models for a wide variety of neural networks The examples in Sections 6-10, 6-12, and 6-22d demonstrate neural-network training General-purpose simulation-language programs normally train only small neural networks, but our vector models also work with appropriate connection weights precalculated with external optimization programs [3 5] 6-2 Simple Vector Operations Model Neural-network Layers If the experiment-protocol script declares an nx-dimensional input-pattern vector x, an nv-dimensional output-pattern vector v, and an nv nx connection-weight matrix W with (Section 3-1)

Java Native Interface is a special API that allows Java programs to communicate with native programs, typically C or C++ Our experience has been that when these native programs produce an error that makes them crash it will usually crash the Java Virtual Machine it interacts with This will cause everything running on this particular instance of the JVM to be lost This is an undesirable effect, and one way of minimizing this is to isolate the execution of the native code to a separate JVM The issue is how to communicate from oneJVM to the other We feel that the JMS Point-To-Point model provides a superb mechanism for this The abstraction would be such that the producer of the message is the entity that wants to use JNI, and the object to be executed is the actual message The consumer of the message, the JMS client, is the isolated process that interacts with the native code If the native code produces an error that causes the JVM to crash, it will only affect that JVM and not the one where the application is running In older JVMs the JNI interface was suspected of creating high instability when a large amount of threads were created and destroyed A proposed technique to reduce the instability is based on a thread pool, which can be created with a fixed number of available threads that will be created only once, at the beginning of the process None of the threads should be destroyed until the end of the process This is similar to aJDBC connection pool or a JMS session pool, but without the ability to increase or shrink the size of the pool After all, this was exactly what was to be avoided The pool of threads should then have some methods to reserve, execute, and release a thread that provide some decent management capabilities for the pool Although this technique was initially created to tackle the instability problems, it has the side effect of creating an efficient and disciplined method of handling requests to native code When combining this technique with a JMS Point-To-Point message model you have a highly efficient way of dealing with the issues related to native calls We call this disciplined isolation The heart of the system is the client that listens to the queue When a message arrives, it verifies that a thread is available If there is a thread available, it consumes the message, takes the object to be executed from the body of the message and assigns it for execution to the selected thread If there are no threads available, the client does not consume the message until a thread has been released The response of the native code is then sent back as another message All the issues surrounding the management of the queue are taken care of by JMS All the developer has to do is 'piggy back' on this infrastructure The Disciplined Isolation model provides a loosely coupled arrangement that can minimize the instability produced by JNI This same model can be extended so it can be used in other cases If JNI is not the target, then dynamic pool size reconfiguration is relatively easy to add This model can also be used to handle native calls from EJBs The current specification does not allow making JNI calls from EJBs Even though the current version of WebLogic (51) does not enforce this, meaning that you can call JNI directly from an EJB, we suggest that you consider using this model The next version of WebLogic will enforce this restriction, but you will be able to disable it with a property.

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