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All but the most trivial programs involve some sort of iterative process whereby the values of the program variables are continually updated until the desired final state is reached. Iteration in conventional programming languages is usually signalled by the keyword while. A while statement has two parts, a condition and a body. The condition is a boolean-valued function of the program variables and the body is a statement. The body is repeatedly executed so long as ('while') the condition is true. In this text, iteration is indicated by parenthesizing a collection of guarded commands by 'do' and 'od'. The statement denoted by while (b) S in Java, or while b do S in Pascal, is denoted here by

of the hydrogenic term, i.e. x exp ( r/A), naturally tends to zero, hence reducing any inaccurracies that might arise because of integrating over the singularity.

Here, b is the condition and 5 is the body of the loop. The use of a parenthesis pair improves readability and minimizes the use of additional brackets which are otherwise needed to delimit the extent of the loop body.

An NN may consist of an input layer, hidden layers and an output layer ANs in one layer are connected, fully or partially, to the ANs in the next layer Feedback connections to previous layers are also possible A typical NN structure is depicted in Figure 14 Several different NN types have been developed, for example (the reader should note.

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Figure 5.33 The well width dependence of the Bohr radius A of the 1s and 2px states of donors at the centre of GaAs quantum wells surrounded by Ga1 x AlxAs barriers.

1 84

Figure 5.34 The well width dependence of the ratio of the Bohr radii of the 1s and 2px states of donors at the centre of GaAs quantum wells surrounded by Ga1 x AlxAs barriers.

1 3: Iteration As for conditional statements, it is convenient to allow a (finite) set of guarded commands rather than just one. The notation do bi Si

Figure 4.2: Learning vector quantizer to illustrate clustering one for each cluster. Less output units will lead to errors since patterns of different classes will be grouped in the same cluster, while too many clusters may cause overfitting. For the problem illustrated in Figure 4.2(a), an additional cluster unit may cause a separate cluster to learn the single x in cluster 4. The Kohonen LVQ-I algorithm is summarized below:

Fig. 5.35 shows the binding energy of the 2pz impurity state, calculated using a hydrogenic term analagous as that for the 2px state, as in equation (5.144), but with the 'lobes' aligned along the growth axis. The lobes now overlap with the repulsive potentials of the heterostructure barriers and hence the energy of the impurity state is increased. This decreases the binding energy, and in fact, as the figure shows, the

n ...

binding energy becomes negative, i.e. the state is unbound. This effect is reduced as the well becomes wider and the z-lobes can 'fit' inside the well. The binding energy of the 2pz state tends to that of the 2s and 2px states as the well approaches 1000 A.

od , where, for each i, bt is a boolean-valued expression and Si is a statement, denotes a program that is executed by iterating the process of choosing an i such that the guard bi evaluates to true, and then executing the statement Sj. If none of the guards evaluates to true, execution terminates. (Note that non-determinism is allowed; it may be that more than one guard evaluates to true, in which case an arbitrary choice is made as to which statement to execute.) We call a statement of this form a loop. An example of a loop is the statement do m<n d,m := n m>n - d,n := od , which adds to the initial value of d the absolute difference between (integer) variables m and n, resetting m and n in the process to the maximum of their initial values. Allowing multiple guards does not increase the power of the language since do b\ >S\ n . . . n bn >Sn od is equivalent to do bi v ... vbn if b\ >S\o...abn >Sn

Two main approaches to initializing the weights, as follows: (a) Either initialize weights to small random values sampled from a uniform distribution, or (b) Take the first input patterns as initial weight vectors. For the example in Figure 4.2(b), u11 = Z1,1,u12 = z2,1, u21 = 21,2,1*22 = ^2,2, etc. Also initialize the learning rate and the neighborhood radius.

Figure 5.35 The well width dependence of the binding energy of the 2pz state of donors at the centre of GaAs quantum wells surrounded by Ga0.9Al0.1 As barriers.

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