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who believed that this new technology could, with little or no effort on the trader s part, magically provide the needed edge System developers would train their nets on raw or mildly preprocessed data, hoping the neural networks themselves would discover something useful This approach was naive; nothing is ever so simple, especially when trading the markets Not only was this neural newbie approach an ineffective way to use neural networks, but so many people were attempting to use nets that whatever edge was originally gained was nullified by the response of the markets, which was to become more efficient with regard to the technology The technology itself was blamed and discarded with little consideration to the thought that it was being inappropriately applied A more sophisticated, reasoned approach was needed if success was going to be achieved.

This is similar to the touch code that you wrote in chapter 6. Recall that locationInView: B gives a CGPoint internal to the view s coordinate system and needs to be converted C into the global coordinate system of the application. In testing, we discovered that when run on an iPhone (but not in the iPhone Simulator), the result is sometimes out of bounds; you need to double-check the coordinates before you move the temporary image view.

For example, the following code shows class MyClass, with a nested class called MyCounter. class MyClass { class MyCounter { ... } ... } // Enclosing class // Nested class

Last up we have the collageView, which is the background UIView that needs to respond to the addPic:at: message and draw onto the CALayer with drawRect:. The code to do this is shown in listing 11.4.

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Most attempts to develop neural network forecasting models, whether in a simplistic manner or more elaborately, have focused on individual markets A serious problem with the use of individual markets, however, is the limited number of data points available on which to train the net This situation leads to grand opportunities for curve-fitting (the bad kind)--something that can contribute greatly to the likelihood of failure with a neural network, especially with less than ideal data preprocessing and targets In this chapter, however, neural networks will be trained on a whole portfolio of tradables, resulting in the availability of many tens of thousands of data points (facts), and a reduction in curve-fitting for small to moderatesized networks Perhaps, in this context, a fairly straightforward attempt to have a neural network predict current or near-future market behavior might be successful.

Declaring a type as a nested type often makes sense if it s only meant to be used as a helper for the enclosing type. Don t be confused by the term nested. Nested refers to the location of the declaration not the location of any instances. Although a nested type s declaration is inside the enclosing type s declaration, objects of the nested type are not necessarily enclosed in objects of the enclosing type. Objects of the nested type if any are created at all are located wherever they would have been located had they not been declared inside another type. For example, Figure 25-6 shows objects of types MyClass and MyCounter, as outlined in the preceding code. The figure additionally shows a field called Counter, in class MyClass, that is a reference to an object of the nested class, which is located elsewhere in the heap.

-(void)addPic:(UIImage *)newPic at:(CGRect)newLoc { if (! myPics) { myPics = [[NSMutableArray alloc] initWithCapacity:0]; [myPics retain]; } [myPics addObject:[NSDictionary dictionaryWithObjectsAndKeys: newPic,@"picture", [NSNumber numberWithFloat:newLoc.origin.x],@"xpoint", [NSNumber numberWithFloat:newLoc.origin.y],@"ypoint", [NSNumber numberWithFloat:newLoc.size.width],@"width", [NSNumber numberWithFloat:newLoc.size.height],@"height", nil]]; [self setNeedsDisplay]; } - (void)drawRect:(CGRect)rect { if (myPics) { for (int i = 0 ; i < myPics.count ; i++) { UIImage *thisPic = [[myPics objectAtIndex:i] objectForKey:@"picture"]; float xpoint = [[[myPics objectAtIndex:i] objectForKey:@"xpoint"] floatValue]; float ypoint = [[[myPics objectAtIndex:i] objectForKey:@"ypoint"] floatValue];

The following code fleshes out classes MyClass and MyCounter into a full program. MyCounter implements an integer counter that starts at 0 and can be incremented using the ++ operator. When the constructor for MyClass is called, it creates an instance of the nested class and assigns the reference to the field. Figure 25-7 illustrates the structure of the objects in the code. class MyClass { class MyCounter { private int _Count = 0; public int Count { get { return _Count; } }

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